The LOGISTIC Procedure

Model Information


Model Information
Data Set	MYLIB.PROJECT
Response Variable	Response	Response
Number of Response Levels	2
Model	binary logit
Optimization Technique	Fisher's scoring

Observations Summary


Number of Observations Read	202
Number of Observations Used	195

Response Profile


Response Profile
Ordered Value	Response	Total Frequency
1	0	104
2	1	91

Probability modeled is Response='1'.

Note:7 observations were deleted due to missing values for the response or explanatory variables.

Class Level Information


Class Level Information
Class	Value	Design Variables
1. In what type of housing do yo	Apartment	1	0	0	0
	Dormitory	0	1	0	0
	House	0	0	1	0
	house	0	0	0	1
2. How spacious is your room?	Big	1	0	0
	Good size	0	1	0
	Small	0	0	1
6. Do you share a room with othe	No	1	0
	Yes	0	1
7. How satisfied are you with th	Extremely satisfied	1	0	0	0	0
	Not at all satisfied	0	1	0	0	0
	Not so satisfied	0	0	1	0	0
	Somewhat satisfied	0	0	0	1	0
	Very satisfied	0	0	0	0	1
8. How safe is your neighborhood	Extremely safe	1	0	0	0	0
	Not at all safe	0	1	0	0	0
	Not so safe	0	0	1	0	0
	Somewhat safe	0	0	0	1	0
	Very safe	0	0	0	0	1
9. How noisy is your neighborhoo	Extremely noisy	1	0	0	0	0
	Not at all noisy	0	1	0	0	0
	Not so noisy	0	0	1	0	0
	Somewhat noisy	0	0	0	1	0
	Very noisy	0	0	0	0	1
10. How would you rate the conve	Extremely convenient	1	0	0	0	0
	Not at all convenient	0	1	0	0	0
	Not so convenient	0	0	1	0	0
	Somewhat convenient	0	0	0	1	0
	Very convenient	0	0	0	0	1
12. How do you get to campus?	Bike	1	0	0	0	0	0	0	0	0	0	0	0
	Board	0	1	0	0	0	0	0	0	0	0	0	0
	Bus	0	0	1	0	0	0	0	0	0	0	0	0
	Drive	0	0	0	1	0	0	0	0	0	0	0	0
	Metro	0	0	0	0	1	0	0	0	0	0	0	0
	Metro system	0	0	0	0	0	1	0	0	0	0	0	0
	Scooter	0	0	0	0	0	0	1	0	0	0	0	0
	Shuttle	0	0	0	0	0	0	0	1	0	0	0	0
	Skateboard	0	0	0	0	0	0	0	0	1	0	0	0
	Walk	0	0	0	0	0	0	0	0	0	1	0	0
	shuttle	0	0	0	0	0	0	0	0	0	0	1	0
	skateboard	0	0	0	0	0	0	0	0	0	0	0	1

Convergence Status


Model Convergence Status
Quasi-complete separation of data points detected.

Fit Statistics


Model Fit Statistics
Criterion	Intercept Only	Intercept and Covariates
AIC	271.460	290.059
SC	274.733	414.433
-2 Log L	269.460	214.059

R-Square and Max-rescaled R-Square


R-Square	0.2473	Max-rescaled R-Square	0.3302

Global Tests


Testing Global Null Hypothesis: BETA=0
Test	Chi-Square	DF	Pr > ChiSq
Likelihood Ratio	55.4007	37	0.0264
Score	46.4244	37	0.1378
Wald	28.8957	37	0.8270

Type 3 Tests


Type 3 Analysis of Effects
Effect	DF	Wald Chi-Square	Pr > ChiSq
1. In what type of h	3	2.4343	0.4873
2. How spacious is y	2	6.8668	0.0323
6. Do you share a ro	1	0.0224	0.8809
7. How satisfied are	4	9.6840	0.0461
8. How safe is your	4	2.6711	0.6143
9. How noisy is your	4	3.6860	0.4502
10. How would you ra	4	1.3748	0.8486
12. How do you get t	11	3.3675	0.9849
3. Which floor do yo	1	0.0274	0.8685
4. How many months i	1	0.0046	0.9460
5. How much do you p	1	0.8121	0.3675
11. How many minutes	1	0.3627	0.5470

Parameter Estimates


Analysis of Maximum Likelihood Estimates
Parameter		DF	Estimate	Standard Error	Wald Chi-Square	Pr > ChiSq	Standardized Estimate	Partial Correlation	Exp(Est)
Intercept		1	-7.4160	164.8	0.0020	0.9641			0.001
1. In what type of h	Apartment	1	-1.3182	1.8988	0.4820	0.4875	-0.3161	0	0.268
1. In what type of h	Dormitory	1	-2.0258	1.9682	1.0594	0.3033	-0.3471	0	0.132
1. In what type of h	House	1	-0.8830	1.9401	0.2071	0.6490	-0.1659	0	0.414
1. In what type of h	house	0	0	.	.	.	.	.	.
2. How spacious is y	Big	1	1.2590	0.7072	3.1690	0.0750	0.2157	0.0659	3.522
2. How spacious is y	Good size	1	1.1578	0.4504	6.6072	0.0102	0.3070	0.1308	3.183
2. How spacious is y	Small	0	0	.	.	.	.	.	.
6. Do you share a ro	No	1	0.0634	0.4231	0.0224	0.8809	0.0172	0	1.065
6. Do you share a ro	Yes	0	0	.	.	.	.	.	.
7. How satisfied are	Extremely satisfied	1	0.9217	0.6604	1.9481	0.1628	0.1612	0	2.514
7. How satisfied are	Not at all satisfied	1	-1.8317	1.2564	2.1254	0.1449	-0.2008	-0.0216	0.160
7. How satisfied are	Not so satisfied	1	-1.6232	0.7634	4.5212	0.0335	-0.2839	-0.0967	0.197
7. How satisfied are	Somewhat satisfied	1	0.0880	0.4308	0.0418	0.8381	0.0241	0	1.092
7. How satisfied are	Very satisfied	0	0	.	.	.	.	.	.
8. How safe is your	Extremely safe	1	-0.3256	0.6139	0.2814	0.5958	-0.0612	0	0.722
8. How safe is your	Not at all safe	1	0.1754	1.6574	0.0112	0.9157	0.00977	0	1.192
8. How safe is your	Not so safe	1	-0.7991	0.7625	1.0981	0.2947	-0.1140	0	0.450
8. How safe is your	Somewhat safe	1	-0.6450	0.4327	2.2219	0.1361	-0.1735	-0.0287	0.525
8. How safe is your	Very safe	0	0	.	.	.	.	.	.
9. How noisy is your	Extremely noisy	1	-0.7669	1.2198	0.3953	0.5295	-0.0670	0	0.464
9. How noisy is your	Not at all noisy	1	-0.8277	1.0596	0.6102	0.4347	-0.0960	0	0.437
9. How noisy is your	Not so noisy	1	0.00687	0.5384	0.0002	0.9898	0.00183	0	1.007
9. How noisy is your	Somewhat noisy	1	0.5590	0.5451	1.0516	0.3051	0.1507	0	1.749
9. How noisy is your	Very noisy	0	0	.	.	.	.	.	.
10. How would you ra	Extremely convenient	1	-0.3021	0.5116	0.3488	0.5548	-0.0687	0	0.739
10. How would you ra	Not at all convenient	1	-0.8344	1.3308	0.3931	0.5307	-0.0654	0	0.434
10. How would you ra	Not so convenient	1	-0.2317	0.6691	0.1199	0.7291	-0.0405	0	0.793
10. How would you ra	Somewhat convenient	1	-0.4724	0.4486	1.1091	0.2923	-0.1182	0	0.623
10. How would you ra	Very convenient	0	0	.	.	.	.	.	.
12. How do you get t	Bike	1	9.0512	164.8	0.0030	0.9562	1.5509	0	8529.075
12. How do you get t	Board	1	-2.9100	233.1	0.0002	0.9900	-0.1149	0	0.054
12. How do you get t	Bus	1	8.1408	164.8	0.0024	0.9606	1.7459	0	3431.783
12. How do you get t	Drive	1	9.2291	164.8	0.0031	0.9553	2.0002	0	10188.87
12. How do you get t	Metro	1	18.8387	233.1	0.0065	0.9356	0.7438	0	1.519E8
12. How do you get t	Metro system	1	19.7438	233.1	0.0072	0.9325	0.7795	0	3.755E8
12. How do you get t	Scooter	1	1.4279	233.1	0.0000	0.9951	0.0564	0	4.170
12. How do you get t	Shuttle	1	-2.1680	233.1	0.0001	0.9926	-0.0856	0	0.114
12. How do you get t	Skateboard	1	-1.0822	189.0	0.0000	0.9954	-0.0736	0	0.339
12. How do you get t	Walk	1	8.7798	164.8	0.0028	0.9575	2.4211	0	6501.498
12. How do you get t	shuttle	1	18.4824	233.1	0.0063	0.9368	0.7297	0	1.0636E8
12. How do you get t	skateboard	0	0	.	.	.	.	.	.
3. Which floor do yo		1	-0.0108	0.0651	0.0274	0.8685	-0.0171	0	0.989
4. How many months i		1	0.00128	0.0190	0.0046	0.9460	0.00815	0	1.001
5. How much do you p		1	-0.00037	0.000407	0.8121	0.3675	-0.1006	0	1.000
11. How many minutes		1	-0.0106	0.0177	0.3627	0.5470	-0.0807	0	0.989

Odds Ratios


Odds Ratio Estimates
Effect	Point Estimate	95% Wald Confidence Limits
1. In what type of h Apartment vs house	0.268	0.006	11.060
1. In what type of h Dormitory vs house	0.132	0.003	6.245
1. In what type of h House vs house	0.414	0.009	18.535
2. How spacious is y Big vs Small	3.522	0.881	14.084
2. How spacious is y Good size vs Small	3.183	1.316	7.695
6. Do you share a ro No vs Yes	1.065	0.465	2.442
7. How satisfied are Extremely satisfied vs Very satisfied	2.514	0.689	9.171
7. How satisfied are Not at all satisfied vs Very satisfied	0.160	0.014	1.879
7. How satisfied are Not so satisfied vs Very satisfied	0.197	0.044	0.881
7. How satisfied are Somewhat satisfied vs Very satisfied	1.092	0.469	2.540
8. How safe is your Extremely safe vs Very safe	0.722	0.217	2.405
8. How safe is your Not at all safe vs Very safe	1.192	0.046	30.691
8. How safe is your Not so safe vs Very safe	0.450	0.101	2.005
8. How safe is your Somewhat safe vs Very safe	0.525	0.225	1.225
9. How noisy is your Extremely noisy vs Very noisy	0.464	0.043	5.072
9. How noisy is your Not at all noisy vs Very noisy	0.437	0.055	3.487
9. How noisy is your Not so noisy vs Very noisy	1.007	0.350	2.893
9. How noisy is your Somewhat noisy vs Very noisy	1.749	0.601	5.090
10. How would you ra Extremely convenient vs Very convenient	0.739	0.271	2.015
10. How would you ra Not at all convenient vs Very convenient	0.434	0.032	5.894
10. How would you ra Not so convenient vs Very convenient	0.793	0.214	2.944
10. How would you ra Somewhat convenient vs Very convenient	0.623	0.259	1.502
12. How do you get t Bike vs skateboard	>999.999	<0.001	>999.999
12. How do you get t Board vs skateboard	0.054	<0.001	>999.999
12. How do you get t Bus vs skateboard	>999.999	<0.001	>999.999
12. How do you get t Drive vs skateboard	>999.999	<0.001	>999.999
12. How do you get t Metro vs skateboard	>999.999	<0.001	>999.999
12. How do you get t Metro system vs skateboard	>999.999	<0.001	>999.999
12. How do you get t Scooter vs skateboard	4.170	<0.001	>999.999
12. How do you get t Shuttle vs skateboard	0.114	<0.001	>999.999
12. How do you get t Skateboard vs skateboard	0.339	<0.001	>999.999
12. How do you get t Walk vs skateboard	>999.999	<0.001	>999.999
12. How do you get t shuttle vs skateboard	>999.999	<0.001	>999.999
3. Which floor do yo	0.989	0.871	1.124
4. How many months i	1.001	0.965	1.039
5. How much do you p	1.000	0.999	1.000
11. How many minutes	0.989	0.956	1.024

Odds Ratios with 95% Wald Confidence Limits

Association Statistics


Association of Predicted Probabilities and Observed Responses
Percent Concordant	77.9	Somers' D	0.558
Percent Discordant	22.1	Gamma	0.558
Percent Tied	0.0	Tau-a	0.279
Pairs	9464	c	0.779

ROC Curve

Covariance Matrix


Estimated Covariance Matrix
Parameter	Intercept	1. In what type of housApartment	1. In what type of housDormitory	1. In what type of housHouse	1. In what type of houshouse	2. How spacious is yourBig	2. How spacious is yourGood size	2. How spacious is yourSmall	6. Do you share a room with oNo	6. Do you share a room with oYes	7. How satisExtremely satisfied	7. How satisNot at all satisfied	7. How satisNot so satisfied	7. How satisSomewhat satisfied	7. How satisVery satisfied	8. How safe is yoExtremely safe	8. How safe is yoNot at all safe	8. How safe is yoNot so safe	8. How safe is yoSomewhat safe	8. How safe is yoVery safe	9. How noisy isExtremely noisy	9. How noisy isNot at all noisy	9. How noisy isNot so noisy	9. How noisy isSomewhat noisy	9. How noisy isVery noisy	10. How wouExtremely convenient	10. How wouNot at all convenient	10. How wouNot so convenient	10. How wouSomewhat convenient	10. How wouVery convenient	12. How do you get tBike	12. How do you get tBoard	12. How do you get tBus	12. How do you get tDrive	12. How do you get tMetro	12. How do you get tMetro system	12. How do you get tScooter	12. How do you get tShuttle	12. How do you get tSkateboard	12. How do you get tWalk	12. How do you get tshuttle	12. How do you get tskateboard	3. Which floor do you live at?	4. How many months is your rent?	5. How much do you pay monthly f	11. How many minutes does it tak
Intercept	27173.49	-3.91689	-3.91769	-3.79812	.	-0.13697	-0.21501	.	0.112216	.	0.000728	-0.06715	-0.71585	0.049979	.	-0.18605	-0.2666	-0.09135	-0.28385	.	-0.11991	0.014149	-0.10308	0.041906	.	-0.09273	-0.02965	0.016066	-0.16778	.	-27169.2	-27169	-27169.1	-27168.9	-27168.9	-27169.2	-27168.5	-27169.1	-27168.9	-27169	-27169.1	.	0.003195	-0.00451	-0.00006	-0.00623
1. In what type of housApartment	-3.91689	3.605461	3.543369	3.478469	.	-0.02322	0.049639	.	-0.07702	.	-0.06223	-0.03088	0.164219	-0.09542	.	0.120487	0.134049	0.0449	0.114447	.	0.075333	-0.04491	0.067902	-0.05608	.	0.052122	0.029103	-0.00624	0.120383	.	0.390515	0.214862	0.286414	0.185129	0.034034	0.287585	0.124298	0.172491	0.102428	0.2209	0.24603	.	-0.00247	-0.00029	-0.00002	0.006066
1. In what type of housDormitory	-3.91769	3.543369	3.873786	3.470873	.	-0.03661	0.032625	.	-0.03556	.	-0.04817	0.010074	0.246108	-0.03599	.	0.050565	0.113967	0.002999	0.106017	.	0.051026	-0.04621	0.079159	-0.09204	.	0.048434	0.092726	-0.00606	0.085145	.	0.368035	0.263445	0.287229	0.199304	0.06754	0.263675	-0.1844	0.216111	0.192009	0.194842	0.226226	.	0.000033	-0.00011	-0.00002	0.006825
1. In what type of housHouse	-3.79812	3.478469	3.470873	3.764146	.	-0.06682	0.074985	.	-0.12578	.	-0.04487	-0.02173	0.229145	-0.07459	.	0.032631	0.19256	0.01103	0.082232	.	-0.09973	-0.01879	0.118627	-0.02645	.	0.057432	0.031686	0.009542	0.079467	.	0.387265	0.174398	0.336848	0.265085	0.186197	0.482001	0.088422	0.170422	0.243008	0.245885	0.226687	.	0.00011	-0.00333	-0.00003	0.002361
1. In what type of houshouse	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
2. How spacious is yourBig	-0.13697	-0.02322	-0.03661	-0.06682	.	0.500145	0.166822	.	-0.05208	.	-0.01319	-0.03336	0.030738	0.015557	.	-0.04615	0.124351	-0.1547	-0.02318	.	0.041522	-0.00903	0.028349	0.014932	.	-0.01335	0.05996	0.005009	-0.00544	.	0.026837	0.007617	0.061108	0.094109	0.083973	0.283804	0.219174	0.003381	0.095855	0.073259	-0.0061	.	-0.00235	0.001127	-0.00002	-0.0018
2. How spacious is yourGood size	-0.21501	0.049639	0.032625	0.074985	.	0.166822	0.202872	.	-0.03354	.	0.01087	-0.01902	0.026	0.00089	.	-0.03075	0.075354	-0.05103	-0.01115	.	-0.03433	0.008136	0.00346	-0.00018	.	0.009986	0.008915	0.014685	0.015012	.	0.078143	-0.01002	0.087983	0.115842	0.058057	0.309858	0.235412	0.026879	0.069468	0.097698	0.019435	.	-0.00223	-0.00107	-0.00004	-0.00095
2. How spacious is yourSmall	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
6. Do you share a room with oNo	0.112216	-0.07702	-0.03556	-0.12578	.	-0.05208	-0.03354	.	0.179026	.	-0.01236	0.034508	0.02415	0.015558	.	0.017553	-0.11258	-0.01129	-0.01898	.	-0.04334	-0.00739	-0.03498	-0.00495	.	0.022227	0.013112	-0.01964	-0.02107	.	-0.04826	0.026294	-0.02473	-0.09788	-0.11296	-0.18415	-0.13157	0.025013	-0.06855	-0.04805	0.032399	.	0.003716	-0.00016	-7.94E-6	-0.00052
6. Do you share a room with oYes	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
7. How satisExtremely satisfied	0.000728	-0.06223	-0.04817	-0.04487	.	-0.01319	0.01087	.	-0.01236	.	0.436117	0.069526	0.068394	0.08653	.	-0.05671	-0.09678	-0.03766	-0.01196	.	-0.01584	-0.15758	0.016594	0.029996	.	-0.01267	0.022371	-0.00125	-0.00027	.	-0.04395	-0.37943	-0.02305	-0.04845	0.044754	-0.04353	0.019986	0.055753	0.051218	-0.01149	-0.03358	.	-0.00415	-0.00082	7.178E-6	0.00068
7. How satisNot at all satisfied	-0.06715	-0.03088	0.010074	-0.02173	.	-0.03336	-0.01902	.	0.034508	.	0.069526	1.57859	0.113272	0.082972	.	0.081687	0.03555	0.012265	0.017115	.	-0.01792	-0.07403	-0.02014	-0.05374	.	0.017821	-0.36388	-0.04642	0.019377	.	0.081419	0.074062	0.142876	0.117427	0.184385	0.125655	-0.08579	0.213642	0.128802	0.071932	0.192742	.	-0.00753	-0.00011	1.906E-6	-0.00316
7. How satisNot so satisfied	-0.71585	0.164219	0.246108	0.229145	.	0.030738	0.026	.	0.02415	.	0.068394	0.113272	0.582771	0.113887	.	0.007259	0.003071	-0.02947	-0.00222	.	-0.0103	0.042701	0.038041	0.011876	.	0.031467	-0.01739	0.054862	-0.01477	.	0.417332	0.436232	0.463425	0.471836	0.562549	0.521066	-0.10287	0.534538	0.566584	0.441999	0.377356	.	0.003068	-0.0008	-0.00005	-0.00144
7. How satisSomewhat satisfied	0.049979	-0.09542	-0.03599	-0.07459	.	0.015557	0.00089	.	0.015558	.	0.08653	0.082972	0.113887	0.185552	.	0.000284	-0.07063	-0.06655	-0.05219	.	-0.03528	-0.01033	-0.01946	-0.00543	.	0.015344	0.033761	0.049391	-0.01426	.	-0.05751	-0.02439	-0.04545	-0.02112	0.076854	-0.07392	-0.1189	0.069853	0.091076	-0.03537	-0.16352	.	0.00197	-0.00024	-0.00002	-3.56E-6
7. How satisVery satisfied	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
8. How safe is yoExtremely safe	-0.18605	0.120487	0.050565	0.032631	.	-0.04615	-0.03075	.	0.017553	.	-0.05671	0.081687	0.007259	0.000284	.	0.376862	0.103337	0.083516	0.081142	.	0.045217	-0.00999	-0.0383	-0.01799	.	-0.06384	-0.02189	-0.02992	0.028235	.	0.060392	0.252085	0.077007	0.034031	0.106318	-0.00191	-0.17662	0.148505	-0.00123	0.058688	0.181501	.	-0.00272	0.000068	0.000012	-0.00089
8. How safe is yoNot at all safe	-0.2666	0.134049	0.113967	0.19256	.	0.124351	0.075354	.	-0.11258	.	-0.09678	0.03555	0.003071	-0.07063	.	0.103337	2.747138	0.081086	0.123331	.	0.019073	-0.2886	0.053687	-0.00016	.	-0.07988	-0.06591	-0.17162	0.00405	.	0.142453	0.238747	0.128645	0.220214	0.197921	0.3251	0.22747	0.0568	0.095373	0.165971	0.310732	.	0.003001	0.000788	-0.00008	-0.0008
8. How safe is yoNot so safe	-0.09135	0.0449	0.002999	0.01103	.	-0.1547	-0.05103	.	-0.01129	.	-0.03766	0.012265	-0.02947	-0.06655	.	0.083516	0.081086	0.581448	0.116765	.	-0.01199	0.063249	0.042006	0.069964	.	-0.0143	-0.2337	-0.10452	-0.04075	.	-0.00596	0.091624	0.020791	0.021268	0.074804	-0.09203	-0.0306	0.016489	-0.03613	-0.00121	0.184951	.	0.004812	0.000544	-2.42E-6	0.000566
8. How safe is yoSomewhat safe	-0.28385	0.114447	0.106017	0.082232	.	-0.02318	-0.01115	.	-0.01898	.	-0.01196	0.017115	-0.00222	-0.05219	.	0.081142	0.123331	0.116765	0.187257	.	0.025019	0.000162	0.024091	0.013632	.	0.000899	-0.03904	-0.07656	0.010903	.	0.094069	0.172404	0.155749	0.119483	0.164871	0.040488	0.09577	0.165102	-0.00413	0.122824	0.292916	.	-0.00149	0.000302	-7.65E-6	0.000326
8. How safe is yoVery safe	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
9. How noisy isExtremely noisy	-0.11991	0.075333	0.051026	-0.09973	.	0.041522	-0.03433	.	-0.04334	.	-0.01584	-0.01792	-0.0103	-0.03528	.	0.045217	0.019073	-0.01199	0.025019	.	1.4878	0.23476	0.175564	0.161748	.	-0.13462	-0.02206	-0.00753	0.002911	.	-0.0816	-0.01024	-0.14665	-0.15877	-0.1724	-0.20557	-0.05278	-0.18104	-0.08349	-0.13107	-0.15182	.	0.00136	0.002054	0.000036	0.002064
9. How noisy isNot at all noisy	0.014149	-0.04491	-0.04621	-0.01879	.	-0.00903	0.008136	.	-0.00739	.	-0.15758	-0.07403	0.042701	-0.01033	.	-0.00999	-0.2886	0.063249	0.000162	.	0.23476	1.122775	0.219848	0.221381	.	-0.07199	-0.05942	0.066637	-0.01539	.	-0.12706	0.037238	-0.16835	-0.23877	-0.14051	-0.10623	-0.15271	-0.24124	-0.06127	-0.1196	-0.28646	.	0.01564	-0.00138	-0.00002	-0.00192
9. How noisy isNot so noisy	-0.10308	0.067902	0.079159	0.118627	.	0.028349	0.00346	.	-0.03498	.	0.016594	-0.02014	0.038041	-0.01946	.	-0.0383	0.053687	0.042006	0.024091	.	0.175564	0.219848	0.289927	0.201313	.	-0.02991	-0.04475	0.004528	-0.02185	.	-0.16047	-0.22034	-0.14362	-0.1264	-0.17452	-0.09316	-0.11781	-0.24638	-0.03581	-0.11397	-0.22871	.	0.003415	-0.0008	-0.00003	-0.00009
9. How noisy isSomewhat noisy	0.041906	-0.05608	-0.09204	-0.02645	.	0.014932	-0.00018	.	-0.00495	.	0.029996	-0.05374	0.011876	-0.00543	.	-0.01799	-0.00016	0.069964	0.013632	.	0.161748	0.221381	0.201313	0.297099	.	-0.02221	-0.12055	-0.04603	-0.03983	.	-0.18745	-0.1894	-0.20255	-0.18531	-0.12967	-0.26115	-0.2137	-0.19918	-0.12178	-0.1472	-0.14432	.	0.005297	-0.00049	-0.00001	-0.0005
9. How noisy isVery noisy	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
10. How wouExtremely convenient	-0.09273	0.052122	0.048434	0.057432	.	-0.01335	0.009986	.	0.022227	.	-0.01267	0.017821	0.031467	0.015344	.	-0.06384	-0.07988	-0.0143	0.000899	.	-0.13462	-0.07199	-0.02991	-0.02221	.	0.261764	0.077218	0.073623	0.074805	.	-0.02482	-0.18308	0.012191	-0.03308	-0.01164	0.048139	-0.16406	0.080941	-0.05847	-0.01502	-0.00449	.	-0.00232	-0.00029	6.006E-6	-0.00082
10. How wouNot at all convenient	-0.02965	0.029103	0.092726	0.031686	.	0.05996	0.008915	.	0.013112	.	0.022371	-0.36388	-0.01739	0.033761	.	-0.02189	-0.06591	-0.2337	-0.03904	.	-0.02206	-0.05942	-0.04475	-0.12055	.	0.077218	1.77113	0.134349	0.099318	.	-0.07935	-0.10518	-0.0563	-0.13881	-0.15091	0.009821	-0.02825	-0.0012	-0.06181	-0.08264	-0.17979	.	-0.00368	0.001064	0.000038	0.001402
10. How wouNot so convenient	0.016066	-0.00624	-0.00606	0.009542	.	0.005009	0.014685	.	-0.01964	.	-0.00125	-0.04642	0.054862	0.049391	.	-0.02992	-0.17162	-0.10452	-0.07656	.	-0.00753	0.066637	0.004528	-0.04603	.	0.073623	0.134349	0.447629	0.087505	.	-0.05813	-0.10255	-0.1617	-0.10084	-0.11269	0.069068	-0.06379	-0.0463	-0.00626	-0.06045	-0.54576	.	0.003083	-0.00033	-3.19E-6	0.000547
10. How wouSomewhat convenient	-0.16778	0.120383	0.085145	0.079467	.	-0.00544	0.015012	.	-0.02107	.	-0.00027	0.019377	-0.01477	-0.01426	.	0.028235	0.00405	-0.04075	0.010903	.	0.002911	-0.01539	-0.02185	-0.03983	.	0.074805	0.099318	0.087505	0.201246	.	-0.01339	-0.0529	-0.04908	-0.07475	-0.17871	0.039885	-0.00361	0.022066	-0.1648	-0.04477	-0.05775	.	-0.00159	0.000759	0.000029	0.000795
10. How wouVery convenient	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
12. How do you get tBike	-27169.2	0.390515	0.368035	0.387265	.	0.026837	0.078143	.	-0.04826	.	-0.04395	0.081419	0.417332	-0.05751	.	0.060392	0.142453	-0.00596	0.094069	.	-0.0816	-0.12706	-0.16047	-0.18745	.	-0.02482	-0.07935	-0.05813	-0.01339	.	27169.21	27168.98	27169.02	27169.03	27169.04	27169.11	27168.6	27168.97	27168.85	27168.94	27169.1	.	-0.00996	-0.00007	-0.00003	-0.00234
12. How do you get tBoard	-27169	0.214862	0.263445	0.174398	.	0.007617	-0.01002	.	0.026294	.	-0.37943	0.074062	0.436232	-0.02439	.	0.252085	0.238747	0.091624	0.172404	.	-0.01024	0.037238	-0.22034	-0.1894	.	-0.18308	-0.10518	-0.10255	-0.0529	.	27168.98	54337.86	27169.03	27169.05	27169.12	27168.9	27168.49	27169.07	27168.85	27168.95	27169.21	.	-0.0004	0.001526	-0.00002	-0.00132
12. How do you get tBus	-27169.1	0.286414	0.287229	0.336848	.	0.061108	0.087983	.	-0.02473	.	-0.02305	0.142876	0.463425	-0.04545	.	0.077007	0.128645	0.020791	0.155749	.	-0.14665	-0.16835	-0.14362	-0.20255	.	0.012191	-0.0563	-0.1617	-0.04908	.	27169.02	27169.03	27169.39	27169.23	27169.28	27169.31	27168.62	27169.15	27168.97	27169.06	27169.4	.	-0.01983	-0.00112	-0.00006	-0.00705
12. How do you get tDrive	-27168.9	0.185129	0.199304	0.265085	.	0.094109	0.115842	.	-0.09788	.	-0.04845	0.117427	0.471836	-0.02112	.	0.034031	0.220214	0.021268	0.119483	.	-0.15877	-0.23877	-0.1264	-0.18531	.	-0.03308	-0.13881	-0.10084	-0.07475	.	27169.03	27169.05	27169.23	27169.5	27169.35	27169.43	27168.68	27169.11	27169.05	27169.09	27169.28	.	-0.02252	-0.0029	-0.00014	-0.00751
12. How do you get tMetro	-27168.9	0.034034	0.06754	0.186197	.	0.083973	0.058057	.	-0.11296	.	0.044754	0.184385	0.562549	0.076854	.	0.106318	0.197921	0.074804	0.164871	.	-0.1724	-0.14051	-0.17452	-0.12967	.	-0.01164	-0.15091	-0.11269	-0.17871	.	27169.04	27169.12	27169.28	27169.35	54355.37	27169.33	27168.48	27169.29	27169.19	27169.14	27169.38	.	-0.01721	-0.00117	-0.00007	-0.00898
12. How do you get tMetro system	-27169.2	0.287585	0.263675	0.482001	.	0.283804	0.309858	.	-0.18415	.	-0.04353	0.125655	0.521066	-0.07392	.	-0.00191	0.3251	-0.09203	0.040488	.	-0.20557	-0.10623	-0.09316	-0.26115	.	0.048139	0.009821	0.069068	0.039885	.	27169.11	27168.9	27169.31	27169.43	27169.33	54355.69	27168.86	27169.05	27169.14	27169.17	27169.12	.	-0.01755	-0.00289	-0.00016	-0.01091
12. How do you get tScooter	-27168.5	0.124298	-0.1844	0.088422	.	0.219174	0.235412	.	-0.13157	.	0.019986	-0.08579	-0.10287	-0.1189	.	-0.17662	0.22747	-0.0306	0.09577	.	-0.05278	-0.15271	-0.11781	-0.2137	.	-0.16406	-0.02825	-0.06379	-0.00361	.	27168.6	27168.49	27168.62	27168.68	27168.48	27168.86	54337.72	27168.37	27168.41	27168.61	27168.56	.	-0.00802	0.001893	-0.00009	0.000764
12. How do you get tShuttle	-27169.1	0.172491	0.216111	0.170422	.	0.003381	0.026879	.	0.025013	.	0.055753	0.213642	0.534538	0.069853	.	0.148505	0.0568	0.016489	0.165102	.	-0.18104	-0.24124	-0.24638	-0.19918	.	0.080941	-0.0012	-0.0463	0.022066	.	27168.97	27169.07	27169.15	27169.11	27169.29	27169.05	27168.37	54337.58	27168.91	27169.01	27169.34	.	-0.02529	-0.00004	4.171E-6	-0.00453
12. How do you get tSkateboard	-27168.9	0.102428	0.192009	0.243008	.	0.095855	0.069468	.	-0.06855	.	0.051218	0.128802	0.566584	0.091076	.	-0.00123	0.095373	-0.03613	-0.00413	.	-0.08349	-0.06127	-0.03581	-0.12178	.	-0.05847	-0.06181	-0.00626	-0.1648	.	27168.85	27168.85	27168.97	27169.05	27169.19	27169.14	27168.41	27168.91	35737.87	27168.9	27168.85	.	-0.00906	-0.00174	-0.00007	-0.00447
12. How do you get tWalk	-27169	0.2209	0.194842	0.245885	.	0.073259	0.097698	.	-0.04805	.	-0.01149	0.071932	0.441999	-0.03537	.	0.058688	0.165971	-0.00121	0.122824	.	-0.13107	-0.1196	-0.11397	-0.1472	.	-0.01502	-0.08264	-0.06045	-0.04477	.	27168.94	27168.95	27169.06	27169.09	27169.14	27169.17	27168.61	27169.01	27168.9	27169.03	27169.13	.	-0.01405	-0.00026	-0.00006	-0.00426
12. How do you get tshuttle	-27169.1	0.24603	0.226226	0.226687	.	-0.0061	0.019435	.	0.032399	.	-0.03358	0.192742	0.377356	-0.16352	.	0.181501	0.310732	0.184951	0.292916	.	-0.15182	-0.28646	-0.22871	-0.14432	.	-0.00449	-0.17979	-0.54576	-0.05775	.	27169.1	27169.21	27169.4	27169.28	27169.38	27169.12	27168.56	27169.34	27168.85	27169.13	54355.78	.	-0.03091	0.000203	3.837E-6	-0.00674
12. How do you get tskateboard	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
3. Which floor do you live at?	0.003195	-0.00247	0.000033	0.00011	.	-0.00235	-0.00223	.	0.003716	.	-0.00415	-0.00753	0.003068	0.00197	.	-0.00272	0.003001	0.004812	-0.00149	.	0.00136	0.01564	0.003415	0.005297	.	-0.00232	-0.00368	0.003083	-0.00159	.	-0.00996	-0.0004	-0.01983	-0.02252	-0.01721	-0.01755	-0.00802	-0.02529	-0.00906	-0.01405	-0.03091	.	0.004238	0.000059	-5.74E-6	0.00022
4. How many months is your rent?	-0.00451	-0.00029	-0.00011	-0.00333	.	0.001127	-0.00107	.	-0.00016	.	-0.00082	-0.00011	-0.0008	-0.00024	.	0.000068	0.000788	0.000544	0.000302	.	0.002054	-0.00138	-0.0008	-0.00049	.	-0.00029	0.001064	-0.00033	0.000759	.	-0.00007	0.001526	-0.00112	-0.0029	-0.00117	-0.00289	0.001893	-0.00004	-0.00174	-0.00026	0.000203	.	0.000059	0.00036	2.045E-6	0.000028
5. How much do you pay monthly f	-0.00006	-0.00002	-0.00002	-0.00003	.	-0.00002	-0.00004	.	-7.94E-6	.	7.178E-6	1.906E-6	-0.00005	-0.00002	.	0.000012	-0.00008	-2.42E-6	-7.65E-6	.	0.000036	-0.00002	-0.00003	-0.00001	.	6.006E-6	0.000038	-3.19E-6	0.000029	.	-0.00003	-0.00002	-0.00006	-0.00014	-0.00007	-0.00016	-0.00009	4.171E-6	-0.00007	-0.00006	3.837E-6	.	-5.74E-6	2.045E-6	1.656E-7	1.096E-6
11. How many minutes does it tak	-0.00623	0.006066	0.006825	0.002361	.	-0.0018	-0.00095	.	-0.00052	.	0.00068	-0.00316	-0.00144	-3.56E-6	.	-0.00089	-0.0008	0.000566	0.000326	.	0.002064	-0.00192	-0.00009	-0.0005	.	-0.00082	0.001402	0.000547	0.000795	.	-0.00234	-0.00132	-0.00705	-0.00751	-0.00898	-0.01091	0.000764	-0.00453	-0.00447	-0.00426	-0.00674	.	0.00022	0.000028	1.096E-6	0.000312

Correlation Matrix


Estimated Correlation Matrix
Parameter	Intercept	1. In what type of housApartment	1. In what type of housDormitory	1. In what type of housHouse	1. In what type of houshouse	2. How spacious is yourBig	2. How spacious is yourGood size	2. How spacious is yourSmall	6. Do you share a room with oNo	6. Do you share a room with oYes	7. How satisExtremely satisfied	7. How satisNot at all satisfied	7. How satisNot so satisfied	7. How satisSomewhat satisfied	7. How satisVery satisfied	8. How safe is yoExtremely safe	8. How safe is yoNot at all safe	8. How safe is yoNot so safe	8. How safe is yoSomewhat safe	8. How safe is yoVery safe	9. How noisy isExtremely noisy	9. How noisy isNot at all noisy	9. How noisy isNot so noisy	9. How noisy isSomewhat noisy	9. How noisy isVery noisy	10. How wouExtremely convenient	10. How wouNot at all convenient	10. How wouNot so convenient	10. How wouSomewhat convenient	10. How wouVery convenient	12. How do you get tBike	12. How do you get tBoard	12. How do you get tBus	12. How do you get tDrive	12. How do you get tMetro	12. How do you get tMetro system	12. How do you get tScooter	12. How do you get tShuttle	12. How do you get tSkateboard	12. How do you get tWalk	12. How do you get tshuttle	12. How do you get tskateboard	3. Which floor do you live at?	4. How many months is your rent?	5. How much do you pay monthly f	11. How many minutes does it tak
Intercept	1.0000	-0.0125	-0.0121	-0.0119	.	-0.0012	-0.0029	.	0.0016	.	0.0000	-0.0003	-0.0057	0.0007	.	-0.0018	-0.0010	-0.0007	-0.0040	.	-0.0006	0.0001	-0.0012	0.0005	.	-0.0011	-0.0001	0.0001	-0.0023	.	-0.9999	-0.7071	-0.9999	-0.9999	-0.7069	-0.7069	-0.7070	-0.7071	-0.8718	-0.9999	-0.7069	.	0.0003	-0.0014	-0.0009	-0.0021
1. In what type of housApartment	-0.0125	1.0000	0.9481	0.9442	.	-0.0173	0.0580	.	-0.0959	.	-0.0496	-0.0129	0.1133	-0.1167	.	0.1034	0.0426	0.0310	0.1393	.	0.0325	-0.0223	0.0664	-0.0542	.	0.0537	0.0115	-0.0049	0.1413	.	0.0012	0.0005	0.0009	0.0006	0.0001	0.0006	0.0003	0.0004	0.0003	0.0007	0.0006	.	-0.0200	-0.0082	-0.0313	0.1808
1. In what type of housDormitory	-0.0121	0.9481	1.0000	0.9089	.	-0.0263	0.0368	.	-0.0427	.	-0.0371	0.0041	0.1638	-0.0424	.	0.0418	0.0349	0.0020	0.1245	.	0.0213	-0.0222	0.0747	-0.0858	.	0.0481	0.0354	-0.0046	0.0964	.	0.0011	0.0006	0.0009	0.0006	0.0001	0.0006	-0.0004	0.0005	0.0005	0.0006	0.0005	.	0.0003	-0.0029	-0.0300	0.1962
1. In what type of housHouse	-0.0119	0.9442	0.9089	1.0000	.	-0.0487	0.0858	.	-0.1532	.	-0.0350	-0.0089	0.1547	-0.0893	.	0.0274	0.0599	0.0075	0.0979	.	-0.0421	-0.0091	0.1136	-0.0250	.	0.0579	0.0123	0.0074	0.0913	.	0.0012	0.0004	0.0011	0.0008	0.0004	0.0011	0.0002	0.0004	0.0007	0.0008	0.0005	.	0.0009	-0.0905	-0.0421	0.0689
1. In what type of houshouse	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
2. How spacious is yourBig	-0.0012	-0.0173	-0.0263	-0.0487	.	1.0000	0.5237	.	-0.1740	.	-0.0283	-0.0375	0.0569	0.0511	.	-0.1063	0.1061	-0.2869	-0.0758	.	0.0481	-0.0121	0.0744	0.0387	.	-0.0369	0.0637	0.0106	-0.0171	.	0.0002	0.0000	0.0005	0.0008	0.0005	0.0017	0.0013	0.0000	0.0007	0.0006	-0.0000	.	-0.0511	0.0840	-0.0795	-0.1440
2. How spacious is yourGood size	-0.0029	0.0580	0.0368	0.0858	.	0.5237	1.0000	.	-0.1760	.	0.0365	-0.0336	0.0756	0.0046	.	-0.1112	0.1009	-0.1486	-0.0572	.	-0.0625	0.0170	0.0143	-0.0007	.	0.0433	0.0149	0.0487	0.0743	.	0.0011	-0.0001	0.0012	0.0016	0.0006	0.0030	0.0022	0.0003	0.0008	0.0013	0.0002	.	-0.0760	-0.1254	-0.2031	-0.1192
2. How spacious is yourSmall	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
6. Do you share a room with oNo	0.0016	-0.0959	-0.0427	-0.1532	.	-0.1740	-0.1760	.	1.0000	.	-0.0442	0.0649	0.0748	0.0854	.	0.0676	-0.1605	-0.0350	-0.1037	.	-0.0840	-0.0165	-0.1535	-0.0215	.	0.1027	0.0233	-0.0694	-0.1110	.	-0.0007	0.0003	-0.0004	-0.0014	-0.0011	-0.0019	-0.0013	0.0003	-0.0009	-0.0007	0.0003	.	0.1349	-0.0203	-0.0461	-0.0691
6. Do you share a room with oYes	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
7. How satisExtremely satisfied	0.0000	-0.0496	-0.0371	-0.0350	.	-0.0283	0.0365	.	-0.0442	.	1.0000	0.0838	0.1357	0.3042	.	-0.1399	-0.0884	-0.0748	-0.0419	.	-0.0197	-0.2252	0.0467	0.0833	.	-0.0375	0.0255	-0.0028	-0.0009	.	-0.0004	-0.0025	-0.0002	-0.0004	0.0003	-0.0003	0.0001	0.0004	0.0004	-0.0001	-0.0002	.	-0.0965	-0.0654	0.0267	0.0583
7. How satisNot at all satisfied	-0.0003	-0.0129	0.0041	-0.0089	.	-0.0375	-0.0336	.	0.0649	.	0.0838	1.0000	0.1181	0.1533	.	0.1059	0.0171	0.0128	0.0315	.	-0.0117	-0.0556	-0.0298	-0.0785	.	0.0277	-0.2176	-0.0552	0.0344	.	0.0004	0.0003	0.0007	0.0006	0.0006	0.0004	-0.0003	0.0007	0.0005	0.0003	0.0007	.	-0.0920	-0.0045	0.0037	-0.1425
7. How satisNot so satisfied	-0.0057	0.1133	0.1638	0.1547	.	0.0569	0.0756	.	0.0748	.	0.1357	0.1181	1.0000	0.3463	.	0.0155	0.0024	-0.0506	-0.0067	.	-0.0111	0.0528	0.0925	0.0285	.	0.0806	-0.0171	0.1074	-0.0431	.	0.0033	0.0025	0.0037	0.0037	0.0032	0.0029	-0.0006	0.0030	0.0039	0.0035	0.0021	.	0.0617	-0.0553	-0.1541	-0.1069
7. How satisSomewhat satisfied	0.0007	-0.1167	-0.0424	-0.0893	.	0.0511	0.0046	.	0.0854	.	0.3042	0.1533	0.3463	1.0000	.	0.0011	-0.0989	-0.2026	-0.2800	.	-0.0671	-0.0226	-0.0839	-0.0231	.	0.0696	0.0589	0.1714	-0.0738	.	-0.0008	-0.0002	-0.0006	-0.0003	0.0008	-0.0007	-0.0012	0.0007	0.0011	-0.0005	-0.0016	.	0.0703	-0.0299	-0.0971	-0.0005
7. How satisVery satisfied	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
8. How safe is yoExtremely safe	-0.0018	0.1034	0.0418	0.0274	.	-0.1063	-0.1112	.	0.0676	.	-0.1399	0.1059	0.0155	0.0011	.	1.0000	0.1016	0.1784	0.3054	.	0.0604	-0.0154	-0.1159	-0.0538	.	-0.2033	-0.0268	-0.0728	0.1025	.	0.0006	0.0018	0.0008	0.0003	0.0007	-0.0000	-0.0012	0.0010	-0.0000	0.0006	0.0013	.	-0.0680	0.0058	0.0489	-0.0825
8. How safe is yoNot at all safe	-0.0010	0.0426	0.0349	0.0599	.	0.1061	0.1009	.	-0.1605	.	-0.0884	0.0171	0.0024	-0.0989	.	0.1016	1.0000	0.0642	0.1720	.	0.0094	-0.1643	0.0602	-0.0002	.	-0.0942	-0.0299	-0.1548	0.0054	.	0.0005	0.0006	0.0005	0.0008	0.0005	0.0008	0.0006	0.0001	0.0003	0.0006	0.0008	.	0.0278	0.0251	-0.1249	-0.0274
8. How safe is yoNot so safe	-0.0007	0.0310	0.0020	0.0075	.	-0.2869	-0.1486	.	-0.0350	.	-0.0748	0.0128	-0.0506	-0.2026	.	0.1784	0.0642	1.0000	0.3539	.	-0.0129	0.0783	0.1023	0.1683	.	-0.0366	-0.2303	-0.2049	-0.1191	.	-0.0000	0.0005	0.0002	0.0002	0.0004	-0.0005	-0.0002	0.0001	-0.0003	-0.0000	0.0010	.	0.0969	0.0376	-0.0078	0.0420
8. How safe is yoSomewhat safe	-0.0040	0.1393	0.1245	0.0979	.	-0.0758	-0.0572	.	-0.1037	.	-0.0419	0.0315	-0.0067	-0.2800	.	0.3054	0.1720	0.3539	1.0000	.	0.0474	0.0004	0.1034	0.0578	.	0.0041	-0.0678	-0.2644	0.0562	.	0.0013	0.0017	0.0022	0.0017	0.0016	0.0004	0.0009	0.0016	-0.0001	0.0017	0.0029	.	-0.0528	0.0368	-0.0434	0.0427
8. How safe is yoVery safe	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
9. How noisy isExtremely noisy	-0.0006	0.0325	0.0213	-0.0421	.	0.0481	-0.0625	.	-0.0840	.	-0.0197	-0.0117	-0.0111	-0.0671	.	0.0604	0.0094	-0.0129	0.0474	.	1.0000	0.1816	0.2673	0.2433	.	-0.2157	-0.0136	-0.0092	0.0053	.	-0.0004	-0.0000	-0.0007	-0.0008	-0.0006	-0.0007	-0.0002	-0.0006	-0.0004	-0.0007	-0.0005	.	0.0171	0.0887	0.0722	0.0958
9. How noisy isNot at all noisy	0.0001	-0.0223	-0.0222	-0.0091	.	-0.0121	0.0170	.	-0.0165	.	-0.2252	-0.0556	0.0528	-0.0226	.	-0.0154	-0.1643	0.0783	0.0004	.	0.1816	1.0000	0.3853	0.3833	.	-0.1328	-0.0421	0.0940	-0.0324	.	-0.0007	0.0002	-0.0010	-0.0014	-0.0006	-0.0004	-0.0006	-0.0010	-0.0003	-0.0007	-0.0012	.	0.2267	-0.0687	-0.0378	-0.1026
9. How noisy isNot so noisy	-0.0012	0.0664	0.0747	0.1136	.	0.0744	0.0143	.	-0.1535	.	0.0467	-0.0298	0.0925	-0.0839	.	-0.1159	0.0602	0.1023	0.1034	.	0.2673	0.3853	1.0000	0.6859	.	-0.1086	-0.0624	0.0126	-0.0905	.	-0.0018	-0.0018	-0.0016	-0.0014	-0.0014	-0.0007	-0.0009	-0.0020	-0.0004	-0.0013	-0.0018	.	0.0974	-0.0780	-0.1157	-0.0091
9. How noisy isSomewhat noisy	0.0005	-0.0542	-0.0858	-0.0250	.	0.0387	-0.0007	.	-0.0215	.	0.0833	-0.0785	0.0285	-0.0231	.	-0.0538	-0.0002	0.1683	0.0578	.	0.2433	0.3833	0.6859	1.0000	.	-0.0796	-0.1662	-0.1262	-0.1629	.	-0.0021	-0.0015	-0.0023	-0.0021	-0.0010	-0.0021	-0.0017	-0.0016	-0.0012	-0.0016	-0.0011	.	0.1493	-0.0476	-0.0453	-0.0517
9. How noisy isVery noisy	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
10. How wouExtremely convenient	-0.0011	0.0537	0.0481	0.0579	.	-0.0369	0.0433	.	0.1027	.	-0.0375	0.0277	0.0806	0.0696	.	-0.2033	-0.0942	-0.0366	0.0041	.	-0.2157	-0.1328	-0.1086	-0.0796	.	1.0000	0.1134	0.2151	0.3259	.	-0.0003	-0.0015	0.0001	-0.0004	-0.0001	0.0004	-0.0014	0.0007	-0.0006	-0.0002	-0.0000	.	-0.0697	-0.0300	0.0288	-0.0903
10. How wouNot at all convenient	-0.0001	0.0115	0.0354	0.0123	.	0.0637	0.0149	.	0.0233	.	0.0255	-0.2176	-0.0171	0.0589	.	-0.0268	-0.0299	-0.2303	-0.0678	.	-0.0136	-0.0421	-0.0624	-0.1662	.	0.1134	1.0000	0.1509	0.1664	.	-0.0004	-0.0003	-0.0003	-0.0006	-0.0005	0.0000	-0.0001	-0.0000	-0.0002	-0.0004	-0.0006	.	-0.0424	0.0421	0.0703	0.0596
10. How wouNot so convenient	0.0001	-0.0049	-0.0046	0.0074	.	0.0106	0.0487	.	-0.0694	.	-0.0028	-0.0552	0.1074	0.1714	.	-0.0728	-0.1548	-0.2049	-0.2644	.	-0.0092	0.0940	0.0126	-0.1262	.	0.2151	0.1509	1.0000	0.2915	.	-0.0005	-0.0007	-0.0015	-0.0009	-0.0007	0.0004	-0.0004	-0.0003	-0.0000	-0.0005	-0.0035	.	0.0708	-0.0260	-0.0117	0.0463
10. How wouSomewhat convenient	-0.0023	0.1413	0.0964	0.0913	.	-0.0171	0.0743	.	-0.1110	.	-0.0009	0.0344	-0.0431	-0.0738	.	0.1025	0.0054	-0.1191	0.0562	.	0.0053	-0.0324	-0.0905	-0.1629	.	0.3259	0.1664	0.2915	1.0000	.	-0.0002	-0.0005	-0.0007	-0.0010	-0.0017	0.0004	-0.0000	0.0002	-0.0019	-0.0006	-0.0006	.	-0.0544	0.0892	0.1565	0.1002
10. How wouVery convenient	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
12. How do you get tBike	-0.9999	0.0012	0.0011	0.0012	.	0.0002	0.0011	.	-0.0007	.	-0.0004	0.0004	0.0033	-0.0008	.	0.0006	0.0005	-0.0000	0.0013	.	-0.0004	-0.0007	-0.0018	-0.0021	.	-0.0003	-0.0004	-0.0005	-0.0002	.	1.0000	0.7071	1.0000	1.0000	0.7070	0.7070	0.7071	0.7071	0.8719	1.0000	0.7070	.	-0.0009	-0.0000	-0.0004	-0.0008
12. How do you get tBoard	-0.7071	0.0005	0.0006	0.0004	.	0.0000	-0.0001	.	0.0003	.	-0.0025	0.0003	0.0025	-0.0002	.	0.0018	0.0006	0.0005	0.0017	.	-0.0000	0.0002	-0.0018	-0.0015	.	-0.0015	-0.0003	-0.0007	-0.0005	.	0.7071	1.0000	0.7071	0.7071	0.4999	0.4999	0.5000	0.5000	0.6165	0.7071	0.4999	.	-0.0000	0.0003	-0.0002	-0.0003
12. How do you get tBus	-0.9999	0.0009	0.0009	0.0011	.	0.0005	0.0012	.	-0.0004	.	-0.0002	0.0007	0.0037	-0.0006	.	0.0008	0.0005	0.0002	0.0022	.	-0.0007	-0.0010	-0.0016	-0.0023	.	0.0001	-0.0003	-0.0015	-0.0007	.	1.0000	0.7071	1.0000	1.0000	0.7070	0.7070	0.7071	0.7071	0.8719	1.0000	0.7070	.	-0.0018	-0.0004	-0.0009	-0.0024
12. How do you get tDrive	-0.9999	0.0006	0.0006	0.0008	.	0.0008	0.0016	.	-0.0014	.	-0.0004	0.0006	0.0037	-0.0003	.	0.0003	0.0008	0.0002	0.0017	.	-0.0008	-0.0014	-0.0014	-0.0021	.	-0.0004	-0.0006	-0.0009	-0.0010	.	1.0000	0.7071	1.0000	1.0000	0.7070	0.7070	0.7071	0.7071	0.8719	1.0000	0.7070	.	-0.0021	-0.0009	-0.0021	-0.0026
12. How do you get tMetro	-0.7069	0.0001	0.0001	0.0004	.	0.0005	0.0006	.	-0.0011	.	0.0003	0.0006	0.0032	0.0008	.	0.0007	0.0005	0.0004	0.0016	.	-0.0006	-0.0006	-0.0014	-0.0010	.	-0.0001	-0.0005	-0.0007	-0.0017	.	0.7070	0.4999	0.7070	0.7070	1.0000	0.4998	0.4999	0.4999	0.6164	0.7070	0.4998	.	-0.0011	-0.0003	-0.0008	-0.0022
12. How do you get tMetro system	-0.7069	0.0006	0.0006	0.0011	.	0.0017	0.0030	.	-0.0019	.	-0.0003	0.0004	0.0029	-0.0007	.	-0.0000	0.0008	-0.0005	0.0004	.	-0.0007	-0.0004	-0.0007	-0.0021	.	0.0004	0.0000	0.0004	0.0004	.	0.7070	0.4999	0.7070	0.7070	0.4998	1.0000	0.4999	0.4999	0.6164	0.7070	0.4998	.	-0.0012	-0.0007	-0.0017	-0.0026
12. How do you get tScooter	-0.7070	0.0003	-0.0004	0.0002	.	0.0013	0.0022	.	-0.0013	.	0.0001	-0.0003	-0.0006	-0.0012	.	-0.0012	0.0006	-0.0002	0.0009	.	-0.0002	-0.0006	-0.0009	-0.0017	.	-0.0014	-0.0001	-0.0004	-0.0000	.	0.7071	0.5000	0.7071	0.7071	0.4999	0.4999	1.0000	0.5000	0.6165	0.7071	0.4999	.	-0.0005	0.0004	-0.0009	0.0002
12. How do you get tShuttle	-0.7071	0.0004	0.0005	0.0004	.	0.0000	0.0003	.	0.0003	.	0.0004	0.0007	0.0030	0.0007	.	0.0010	0.0001	0.0001	0.0016	.	-0.0006	-0.0010	-0.0020	-0.0016	.	0.0007	-0.0000	-0.0003	0.0002	.	0.7071	0.5000	0.7071	0.7071	0.4999	0.4999	0.5000	1.0000	0.6165	0.7071	0.4999	.	-0.0017	-0.0000	0.0000	-0.0011
12. How do you get tSkateboard	-0.8718	0.0003	0.0005	0.0007	.	0.0007	0.0008	.	-0.0009	.	0.0004	0.0005	0.0039	0.0011	.	-0.0000	0.0003	-0.0003	-0.0001	.	-0.0004	-0.0003	-0.0004	-0.0012	.	-0.0006	-0.0002	-0.0000	-0.0019	.	0.8719	0.6165	0.8719	0.8719	0.6164	0.6164	0.6165	0.6165	1.0000	0.8719	0.6164	.	-0.0007	-0.0005	-0.0009	-0.0013
12. How do you get tWalk	-0.9999	0.0007	0.0006	0.0008	.	0.0006	0.0013	.	-0.0007	.	-0.0001	0.0003	0.0035	-0.0005	.	0.0006	0.0006	-0.0000	0.0017	.	-0.0007	-0.0007	-0.0013	-0.0016	.	-0.0002	-0.0004	-0.0005	-0.0006	.	1.0000	0.7071	1.0000	1.0000	0.7070	0.7070	0.7071	0.7071	0.8719	1.0000	0.7070	.	-0.0013	-0.0001	-0.0009	-0.0015
12. How do you get tshuttle	-0.7069	0.0006	0.0005	0.0005	.	-0.0000	0.0002	.	0.0003	.	-0.0002	0.0007	0.0021	-0.0016	.	0.0013	0.0008	0.0010	0.0029	.	-0.0005	-0.0012	-0.0018	-0.0011	.	-0.0000	-0.0006	-0.0035	-0.0006	.	0.7070	0.4999	0.7070	0.7070	0.4998	0.4998	0.4999	0.4999	0.6164	0.7070	1.0000	.	-0.0020	0.0000	0.0000	-0.0016
12. How do you get tskateboard	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
3. Which floor do you live at?	0.0003	-0.0200	0.0003	0.0009	.	-0.0511	-0.0760	.	0.1349	.	-0.0965	-0.0920	0.0617	0.0703	.	-0.0680	0.0278	0.0969	-0.0528	.	0.0171	0.2267	0.0974	0.1493	.	-0.0697	-0.0424	0.0708	-0.0544	.	-0.0009	-0.0000	-0.0018	-0.0021	-0.0011	-0.0012	-0.0005	-0.0017	-0.0007	-0.0013	-0.0020	.	1.0000	0.0474	-0.2167	0.1911
4. How many months is your rent?	-0.0014	-0.0082	-0.0029	-0.0905	.	0.0840	-0.1254	.	-0.0203	.	-0.0654	-0.0045	-0.0553	-0.0299	.	0.0058	0.0251	0.0376	0.0368	.	0.0887	-0.0687	-0.0780	-0.0476	.	-0.0300	0.0421	-0.0260	0.0892	.	-0.0000	0.0003	-0.0004	-0.0009	-0.0003	-0.0007	0.0004	-0.0000	-0.0005	-0.0001	0.0000	.	0.0474	1.0000	0.2649	0.0847
5. How much do you pay monthly f	-0.0009	-0.0313	-0.0300	-0.0421	.	-0.0795	-0.2031	.	-0.0461	.	0.0267	0.0037	-0.1541	-0.0971	.	0.0489	-0.1249	-0.0078	-0.0434	.	0.0722	-0.0378	-0.1157	-0.0453	.	0.0288	0.0703	-0.0117	0.1565	.	-0.0004	-0.0002	-0.0009	-0.0021	-0.0008	-0.0017	-0.0009	0.0000	-0.0009	-0.0009	0.0000	.	-0.2167	0.2649	1.0000	0.1524
11. How many minutes does it tak	-0.0021	0.1808	0.1962	0.0689	.	-0.1440	-0.1192	.	-0.0691	.	0.0583	-0.1425	-0.1069	-0.0005	.	-0.0825	-0.0274	0.0420	0.0427	.	0.0958	-0.1026	-0.0091	-0.0517	.	-0.0903	0.0596	0.0463	0.1002	.	-0.0008	-0.0003	-0.0024	-0.0026	-0.0022	-0.0026	0.0002	-0.0011	-0.0013	-0.0015	-0.0016	.	0.1911	0.0847	0.1524	1.0000

Classification Table


Classification Table
Prob Level	Correct		Incorrect		Percentages
Prob Level	Event	Non- Event	Event	Non- Event	Correct	Sensi- tivity	Speci- ficity	False POS	False NEG
0.000	91	0	104	0	46.7	100.0	0.0	53.3	.
0.020	90	7	97	1	49.7	98.9	6.7	51.9	12.5
0.040	89	11	93	2	51.3	97.8	10.6	51.1	15.4
0.060	89	12	92	2	51.8	97.8	11.5	50.8	14.3
0.080	89	16	88	2	53.8	97.8	15.4	49.7	11.1
0.100	87	20	84	4	54.9	95.6	19.2	49.1	16.7
0.120	84	22	82	7	54.4	92.3	21.2	49.4	24.1
0.140	83	24	80	8	54.9	91.2	23.1	49.1	25.0
0.160	82	26	78	9	55.4	90.1	25.0	48.8	25.7
0.180	81	27	77	10	55.4	89.0	26.0	48.7	27.0
0.200	81	28	76	10	55.9	89.0	26.9	48.4	26.3
0.220	80	28	76	11	55.4	87.9	26.9	48.7	28.2
0.240	79	30	74	12	55.9	86.8	28.8	48.4	28.6
0.260	78	31	73	13	55.9	85.7	29.8	48.3	29.5
0.280	75	35	69	16	56.4	82.4	33.7	47.9	31.4
0.300	74	36	68	17	56.4	81.3	34.6	47.9	32.1
0.320	73	37	67	18	56.4	80.2	35.6	47.9	32.7
0.340	72	39	65	19	56.9	79.1	37.5	47.4	32.8
0.360	69	41	63	22	56.4	75.8	39.4	47.7	34.9
0.380	63	45	59	28	55.4	69.2	43.3	48.4	38.4
0.400	61	48	56	30	55.9	67.0	46.2	47.9	38.5
0.420	57	48	56	34	53.8	62.6	46.2	49.6	41.5
0.440	55	51	53	36	54.4	60.4	49.0	49.1	41.4
0.460	54	56	48	37	56.4	59.3	53.8	47.1	39.8
0.480	52	57	47	39	55.9	57.1	54.8	47.5	40.6
0.500	45	57	47	46	52.3	49.5	54.8	51.1	44.7
0.520	43	59	45	48	52.3	47.3	56.7	51.1	44.9
0.540	42	63	41	49	53.8	46.2	60.6	49.4	43.8
0.560	39	64	40	52	52.8	42.9	61.5	50.6	44.8
0.580	37	70	34	54	54.9	40.7	67.3	47.9	43.5
0.600	34	72	32	57	54.4	37.4	69.2	48.5	44.2
0.620	33	77	27	58	56.4	36.3	74.0	45.0	43.0
0.640	30	81	23	61	56.9	33.0	77.9	43.4	43.0
0.660	27	82	22	64	55.9	29.7	78.8	44.9	43.8
0.680	24	82	22	67	54.4	26.4	78.8	47.8	45.0
0.700	23	85	19	68	55.4	25.3	81.7	45.2	44.4
0.720	20	88	16	71	55.4	22.0	84.6	44.4	44.7
0.740	14	89	15	77	52.8	15.4	85.6	51.7	46.4
0.760	11	92	12	80	52.8	12.1	88.5	52.2	46.5
0.780	9	96	8	82	53.8	9.9	92.3	47.1	46.1
0.800	9	98	6	82	54.9	9.9	94.2	40.0	45.6
0.820	7	98	6	84	53.8	7.7	94.2	46.2	46.2
0.840	7	100	4	84	54.9	7.7	96.2	36.4	45.7
0.860	6	100	4	85	54.4	6.6	96.2	40.0	45.9
0.880	5	100	4	86	53.8	5.5	96.2	44.4	46.2
0.900	3	100	4	88	52.8	3.3	96.2	57.1	46.8
0.920	3	101	3	88	53.3	3.3	97.1	50.0	46.6
0.940	3	101	3	88	53.3	3.3	97.1	50.0	46.6
0.960	3	102	2	88	53.8	3.3	98.1	40.0	46.3
0.980	3	102	2	88	53.8	3.3	98.1	40.0	46.3
1.000	0	104	0	91	53.3	0.0	100.0	.	46.7

Influence Plots

Panel 1

Panel 2

Panel 3

DfBetas Plots

Panel 1

Panel 2

Panel 3

Panel 4

Panel 5

Panel 6

Panel 7

Panel 8

Panel 9

Panel 10

Predicted Probability Plots

Leverage Plots

Diff * Prob by C Plots

Plots of Pearson Chi-square and Deviance Differences by Predicted Probability for Response by CI Displacements C

Effect Plots

P * 3. Which floor do you live at? by 1. In what type of housing do yo

Results: Binary Logistic Regression

The LOGISTIC Procedure

Model Information

Observations Summary

Response Profile

Class Level Information

Convergence Status

Fit Statistics

R-Square and Max-rescaled R-Square

Global Tests

Type 3 Tests

Parameter Estimates

Odds Ratios

Odds Ratios with 95% Wald Confidence Limits

Association Statistics

ROC Curve

Covariance Matrix

Correlation Matrix

Classification Table

Influence Plots

Panel 1

Panel 2

Panel 3

DfBetas Plots

Panel 1

Panel 2

Panel 3

Panel 4

Panel 5

Panel 6

Panel 7

Panel 8

Panel 9

Panel 10

Predicted Probability Plots

Leverage Plots

Diff * Prob by C Plots

Effect Plots

P * 3. Which floor do you live at? by 1. In what type of housing do yo