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rm(list = ls())
tripdata = read.csv("D:/Projects/20-102/Project Task/Task 4/R code/HH trip data_random model.csv",header=TRUE)
summary(tripdata)
## HTRIPS_random worker retired hmaker
## Min. : 0.000 Min. :0.000 Min. :0.0000 Min. :0.0000
## 1st Qu.: 4.000 1st Qu.:1.000 1st Qu.:0.0000 1st Qu.:0.0000
## Median : 7.000 Median :1.000 Median :0.0000 Median :0.0000
## Mean : 9.146 Mean :1.298 Mean :0.2816 Mean :0.1138
## 3rd Qu.:13.000 3rd Qu.:2.000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :63.000 Max. :5.000 Max. :4.0000 Max. :2.0000
## student children zero_veh car_ls_drv
## Min. :0.0000 Min. : 0.0000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.: 0.0000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median : 0.0000 Median :0.00000 Median :0.0000
## Mean :0.6813 Mean : 0.6072 Mean :0.04145 Mean :0.1047
## 3rd Qu.:1.0000 3rd Qu.: 1.0000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :8.0000 Max. :10.0000 Max. :1.00000 Max. :1.0000
## car_grt_wrk inc_grt_100
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :0.0000
## Mean :0.5382 Mean :0.1941
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
hhtrip_random_model = lm(HTRIPS_random~worker+retired+hmaker+student+children+zero_veh+car_ls_drv+car_grt_wrk+inc_grt_100, data = tripdata)
summary(hhtrip_random_model)
##
## Call:
## lm(formula = HTRIPS_random ~ worker + retired + hmaker + student +
## children + zero_veh + car_ls_drv + car_grt_wrk + inc_grt_100,
## data = tripdata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23.880 -3.504 -0.711 2.836 56.972
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.19722 0.16935 12.975 < 2e-16 ***
## worker 2.37271 0.08552 27.744 < 2e-16 ***
## retired 1.01133 0.12130 8.337 < 2e-16 ***
## hmaker 1.67369 0.19315 8.665 < 2e-16 ***
## student 2.02987 0.10756 18.871 < 2e-16 ***
## children 2.19174 0.10936 20.042 < 2e-16 ***
## zero_veh 0.62249 0.31210 1.995 0.0461 *
## car_ls_drv 0.83566 0.19385 4.311 1.64e-05 ***
## car_grt_wrk 0.93389 0.13540 6.897 5.61e-12 ***
## inc_grt_100 0.32517 0.14286 2.276 0.0229 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.657 on 10268 degrees of freedom
## Multiple R-squared: 0.4288, Adjusted R-squared: 0.4283
## F-statistic: 856.5 on 9 and 10268 DF, p-value: < 2.2e-16
Here, worker = Number of workers, retired = Number of retired persons, hmaker = Number of homemakers, student = Number of students, children = Number of children, zero_veh = Zero vehicle household, car_ls_drive = Household with cars < drivers, car_grt_wrk = Household with cars > workers, inc_grt_100 = Household income > $100,000