Data Analytics introductory class. Show all steps in a simple manor.

1 - Load the data-set "jtrain" from the Wooldridge package. F - Draw a graph and visualize the relationship between total employees trained (totrain) and annual sales (sales) measured in dollars. (2 points) G - From part "F" what relationship do you observe between total employees trained (totrain) and annual sales (sales). Explain in 2 lines. (2 points) H - Regress the annual sales (sales) on total employees trained (totrain) where annual sales (sales) is the response variable and total employees trained (totrain) is the control variable. Estimate the parameters. ( 2 points) I - Assuming that the total number of employees trained (totrain) is zero, what would be the predicted value for the annual sales (sales)? (2 points) J - If total employees trained (totrain) increases by 5 hours what would be the predicted change in annual sales (sales) holding all unobservable factors affecting annual sales (sales) fixed. (2 points) K - Given your regression model draw the fitted regression line. (2 points) L - Find the fitted value for the 9th observation. Is the predicted value for the annual sales (sales) for the 9 th observation overpredicted or underpredicted? Why? (2 points) M - Find the residual for the 10 th observation. Is the predicted value for the annual sales (sales) for the 10th observation overpredicted or underpredicted? Why? (2 points) N - Find sum of the residuals. What do you observe? Explain in 2 lines. (2 points)