# Question

An air conditioning company responds to calls concerning problems with air conditioners by sending a repair person to the home of the caller. There have been complaints about lengthy delays between the time the call is received and the time when the repair person reports to the home. The manager of the company would like to develop a method to estimate the length of time the customer will have to wait before receiving service. Data is obtained by taking a random sample of 15 calls for service for each backlog situation in which 0, 1, 2, 3, or 4 previous callers are waiting for service and then recording the number of minutes it took for the service person to reach the customer.

a. Plot the data, and assess whether fitting a regression model relating response time to backlog would be appropriate.

b. Fit a regression line relating the response time to the backlog of previous calls.

c. Fit a regression line relating the logarithm of response time to the backlog of previous calls.

d. Which of the two regression lines appears to be most appropriate?

a. Plot the data, and assess whether fitting a regression model relating response time to backlog would be appropriate.

b. Fit a regression line relating the response time to the backlog of previous calls.

c. Fit a regression line relating the logarithm of response time to the backlog of previous calls.

d. Which of the two regression lines appears to be most appropriate?

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