0.896367557208608060.803474797616127280.795613789520772

0.896367557208608060.803474797616127280.7956137895207723342.612987065760429271
185600.00000000003
185600.00000000003
102.21014758792869
2.5704830783020142E-1025
45396.66666666665
1815.866666666665926
230996.666666666691168.4444444444443
16.283491428107723
71.756382812812234
1.7825608420102869E-30
1134.9079660748287
1201.98092281406
1134.9079660748287
1201.98092281406-2.6666666666666661
0.26376776813035735
-10.109903441078387
2.5704830783020328E-10
-3.2099065541048297
-2.1234267792285024
-3.2099065541048297
-2.12342677922850241966
1200
15
1800
2900
501967
1190
15
1790
3100
501968
1195
15
1780
3200
601969
1110
25
1778
3250
601970
1105
25
1750
3275
601971
1115
25
1740
3290
701972
1130
25
1725
4100
751973
1095
30
1725
4300
751974
1090
30
1720
4400
751975
1087
30
1705
4600
801976
1080
30
1710
4815
801977
1020
40
1700
5285
801978
1010
40
1695
5665
851979
1010
40
1695
5800
1001980
1005
40
1690
5900
1051981
995
40
1630
5915
1051982
930
75
1640
6325
1051983
915
75
1635
6500
1101984
920
75
1630
6612
1251985
940
75
1620
6883
1301986
950
75
1615
7005
1501987
910
100
1605
7234
1551988
930
100
1590
7500
1651989
933
100
1595
7600
1751990
940
100
1590
7800
1751991
948
100
1600
8000
1901992
955
100
1610
8100
200Year
Weekly Riders (Y) x1000
Price (P) per Ride in cents
Population (T) x 1000
Income (I)
Parking rate (H) in cents
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Intercept
df
SS
MS
F
Significance F
Coefficients
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
Attachments: