Part 2: Build a simple linear model by regressing Y on X and testing whether or not a relationship exists between the number of drivers and the number of trucks. Address the following questions in your written response: 1. After fitting the model, plot the standardized residuals (on vertical axis) vs. the standardize predictions (on horizontal axis). Is there a pattern? How would you interpret the pattern or lack of pattern? 2. After fitting the model, derive the normal probability plot and interpret what the plot means. 3. What is the coefficient of determination, R?, of the model? How would you interpret the R?? 4. What is the estimate of B.? How would you interpret the estimate of B,? 5. Is the estimate of B, significantly different than 0? Assume an a = 0.01. 6. What is a 95% confidence interval for B1? How would you interpret the 95% confidence interval for B1? 7. If a new trucking and delivery company with 4,900 drivers were to be formed, how many trucks would you expect the company would employ based on the model