A publishing company is attempting to develop a model to help predict textbook sales for books it is considering for future publication. The marketing department has collected data on several variables from a random sample of 15 books.

Book	Volume Sold (10000 bks)	Pages	Competing Books	Ad Budget ($1000)	Age of Author
1	15	176	5	25	49
2	140	296	10	83	57
3	75	483	7	40	29
4	100	811	14	29	37
5	26	302	9	52	35
6	33	411	15	33	43
7	59	333	7	19	51
8	103	602	4	37	62
9	88	504	12	51	33
10	10	204	3	30	50
11	9	376	4	19	26
12	77	600	7	41	40
13	59	400	3	26	44
14	383	597	8	61	59
15	16	126	1	27	38

1. Additional data (Production Costs in $1000s and Number of Reviewers) are provided on tab: Question 2 continued. Run a best subsets and a stepwise regression using all six predictors. Select Include details for each step in Stepwise. Include your output from each. Based on best subsets, which model would you select and why?

   Prodn Cost ($1000s)	No reviewers
   38	5
   86	8
   59	3
   80	9
   29.5	3
   31	3
   40	5
   69	4
   51	4
   34	6
   20	2
   80	5
   60	5
   87	8
   29	3