The following Stata output uses two variables. The first variable, colGPA, repre
ID: 3263215 • Letter: T
Question
The following Stata output uses two variables. The first variable, colGPA, represents the student's college GPA. The second variable, skipped, represents the average number of classes that the student skipped per week. The following Stata output uses two variables. The first variable, colGPA, represents the student's college GPA. The second variable, skipped, represents the average number of classes that the student skipped per week. (b) Calculate the impact size of b_2. Interpret this impact size. Be clear about the units of the variables (c) Suppose the true population parameters b_2 = -1.1. Is the estimator b_2 biased? Explain your answer. (d) Calculate R^2 (e) What is the regression's prediction for the change in college GPA when a student skips two classes per week on average? Is the coefficient on b_2 statistically different from 0 at the 5% level? Explain your answer.Explanation / Answer
16)
a)
b1 - coefficient of colGPA
b2 -coefficient of skipped
b1 represent change in dependent variable (colGPA) when number of students skipped per week = 0
b2 -represent change in dependent variable colGPA when skipped change by 1 unit (1 student per week)
c) b2 = -1.1 , coefficent = -0.089
since sample estimate is not same , b2 is biased
d) R^2 = SSR/SST = 1.33028/19.4060994 = 0.06854958
e) colGPa= 3.153084 -0.0895215*skipped
f) since p-value of b2 is 0.000 < 0.05
we reject the null and conclude that the variable skipped is significant