Ashland MultiComm Services needs to accurately forecast monthly total of new subscriptions. An analyst is looking for factors that might help in predicting new subscriptions. She collected data for the number of new subscriptions and hours spent on telemarketing for each month for the past two years. Data is listed below (24 data counts in total)

a. Analyze the data and develop a simple linear regression model to predict the number of new subscriptions for a month, based on the number of hours spent on telemarketing for new subscriptions.

b. If you expect to spend 1,200 hours on telemarketing per month, estimate the number of new subscriptions for the month. Indicate the assumptions on which this prediction is based. Are these assumptions valid? Explain.

c. What would be the danger of predicting the number of new subscriptions for a month in which 2,000 hours were spend on telemarketing?

Hours	New Subscriptions
1224	5357
1458	6177
1006	4795
1395	5692
1131	4312
921	3421
704	2624
1154	4087
1168	4934
803	2546
830	3591
981	4271
1435	5836
1349	5201
965	3775
985	3592
1117	4566
840	2974
1412	5673
940	3554
1090	4399
1498	6143
1240	4827
1055	5418