The regression chart below shows the monthly Uber rides for a sample of people with the following variables: daily pay in dollars (xl), age (x2), whether they live in the city or a suburban area (x3-city dummy), employment status (x4 and x5-full time and part time dummies) and the interaction variables between daily pay and the employment dummy variables (x6 and 7). The dummy variable "City is 1 for those who live in the city and 0 otherwise. There are three employment status categories: unemployed, full time and part time. The dummy variable "full time is 1 if the person is employed full-time and otherwise. The dummy variable "part time" is 1 if the person is employed part-time and otherwise. y: Monthly Uber rides Star Intercept Pay Age City Full time Part time Pay "Full time Coefficients -8.926 0.090 0.200 S.OSS 4.861 3.660 -0.050 Standard Error 4.076 0.291 0.202 2.337 2.032 2.138 0.710 P-value 0.053 0.028 0.129 0.045 0.087 0.118 0.023 O Part time Pay*Full time PayPart time 3.660 -0.050 0.020 2.138 0.710 0.720 0.118 0.023 0.034 Every additional dollar of daily pay the number of monthly Uber rides by for those who are employed part-time. increases. 0.070 increases, 3.660 increases, 0.020 increases. 0.110 decreases, 0.070 Star Intercept Pay Age City Full time Part time Pay*Full time PayPart time Coefficients -8.926 0.090 0.200 5.088 4.861 3.660 -0.050 0.020 Error 4.076 0.291 0.202 2.337 2.032 2.138 0.710 0.720 P-value 0.053 0.028 0.129 0.045 0.087 0.118 0.023 0.034 Every additional dollar of daily pay the number of monthly Uber rides by for those who are employed part-time. increases, 0.070 increases, 3.660 increases. 0.020 The regression chart below shows the monthly Uber rides for a sample of people with the following variables: daily pay in dollars (xl), age (x2), whether they live in the city or a suburban area (x3-city dummy), employment status (x4 and x5-full time and part time dummies) and the interaction variables between daily pay and the employment dummy variables (x6 and 7). The dummy variable "City is 1 for those who live in the city and 0 otherwise. There are three employment status categories: unemployed, full time and part time. The dummy variable "full time is 1 if the person is employed full-time and otherwise. The dummy variable "part time" is 1 if the person is employed part-time and otherwise. y: Monthly Uber rides Star Intercept Pay Age City Full time Part time Pay "Full time Coefficients -8.926 0.090 0.200 S.OSS 4.861 3.660 -0.050 Standard Error 4.076 0.291 0.202 2.337 2.032 2.138 0.710 P-value 0.053 0.028 0.129 0.045 0.087 0.118 0.023 O Part time Pay*Full time PayPart time 3.660 -0.050 0.020 2.138 0.710 0.720 0.118 0.023 0.034 Every additional dollar of daily pay the number of monthly Uber rides by for those who are employed part-time. increases. 0.070 increases, 3.660 increases, 0.020 increases. 0.110 decreases, 0.070 Star Intercept Pay Age City Full time Part time Pay*Full time PayPart time Coefficients -8.926 0.090 0.200 5.088 4.861 3.660 -0.050 0.020 Error 4.076 0.291 0.202 2.337 2.032 2.138 0.710 0.720 P-value 0.053 0.028 0.129 0.045 0.087 0.118 0.023 0.034 Every additional dollar of daily pay the number of monthly Uber rides by for those who are employed part-time. increases, 0.070 increases, 3.660 increases. 0.020
