You are an industrial engineer employed by a soft drink beverage bottler to analyze the product delivery and service operations for vending machines. You suspect that the time required by a route deliveryman to load and service machines is related to the number of cases of product delivered. You visit 25 randomly chosen retail outlets having vending machines and observe the in-out delivery time (in minutes) and the volume of product delivered (in cases) for each.
The data are available in a file, Delivery Time,mpj.
1. Plot the data. Briefly comment.
From the scatter plot you can see that the time increases as more cases need to be delivered.
2. Fit a simple linear regression equation.
a. How would you explain what the intercept of the equation is telling you about delivery time and the number of cases delivered?
b. What does the slope of the equation tell you?