Table 2 - Modeling Results for the MGEE Model without Correlation

Table 2 - Modeling Results for the MGEE Model without Correlation

Excel | CSV

Parameter Equation 1
MR1 vs. MR4
Equation 2
MR2 vs. MR4
Equation 3
MR3 vs. MR4
Coefficient t statistic Coefficient t statistic Coefficient t statistic
Intercept −41.31 −12.17 −24.93 −8.14 6.02 1.64
Age 0.04 1.15 0.42 0.55 6.70 5.50
Income 2.27 1.15 3.85 4.50 2.44 2.98
Education level 0.22 0.21 −2.36 −1.26 8.73 7.01
Shortest 1 12.71 9.92 13.37 10.64 −18.65 −17.52
Shortest 2 11.65 9.84 13.07 10.23 −23.48 −12.32
Shortest 3 1.65 1.83 −7.66 −5.63 22.67 16.71
Advised 1 7.93 9.24 21.79 16.86 3.69 3.67
Advised 2 7.26 5.12 12.95 8.22 −6.38 −2.98
Advised 3 −6.81 −7.04 −18.10 −11.33 1.41 1.35
Travel time 1 −6.07 −24.52 −4.35 −11.27 −0.89 −10.73
Travel time 2 −2.34 −19.66 −2.23 −20.18 −0.17 −2.82
Travel time 3 −0.67 −19.72 −0.36 −5.89 −0.96 −18.87
Travel time 4 9.44 26.15 7.36 13.34 1.89 22.90

Overall Summary Statistics

  df F statistics
Overall model 42 11,464.98
Intercept 3 80.11
Age 3 12.10
Income 3 7.96
Education level 3 20.44
Shortest 1 3 197.39
Shortest 2 3 117.23
Shortest 3 3 167.53
Advised 1 3 96.60
Advised 2 3 44.95
Advised 3 3 57.78
Travel time 1 3 202.42
Travel time 2 3 151.75
Travel time 3 3 400.09
Travel time 4 3 478.48