Question: The regression chart below shows the monthly Uber rides for a sample of people with the following variables: daily pay in dollars (x1). age (x2),

The regression chart below shows the monthly Uber rides for a sample of people with the following variables: daily pay in dollars (x1). 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 x7). 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 0 otherwise. The dummy variable "part time" is 1 if the person is employed part-time and 0 otherwise, v: Monthly Uber rides 1 Star Intercept Pay Age City Full time Partais Coefficients -8.926 0,090 0.200 5.088 4861 3.660 Standard Error 4.076 0.291 10.202 2.337 2032 2.138 P-value 0.053 0.028 0.129 0.015 0.087 0118 9 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 by Every additional dollar of daily pay the number of monthly Uber rides for those who are employed full-time. increases. 0.040 increases. 4.861 increases. 0.050 increases. 0.090 decreases. 0.050 TA O The regression chart below shows the monthly Uber rides for a sample of people with the following variables: daily pay in dollars (x1). 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 x7). 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 0 otherwise. The dummy variable "part time" is 1 if the person is employed part-time and 0 otherwise, v: Monthly Uber rides 1 Star Intercept Pay Age City Full time Partais Coefficients -8.926 0,090 0.200 5.088 4861 3.660 Standard Error 4.076 0.291 10.202 2.337 2032 2.138 P-value 0.053 0.028 0.129 0.015 0.087 0118 9 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 by Every additional dollar of daily pay the number of monthly Uber rides for those who are employed full-time. increases. 0.040 increases. 4.861 increases. 0.050 increases. 0.090 decreases. 0.050 TA O

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