Auction	Auction Price	Age of Item	Number Bidders
1	$946	113	9
2	$1,336	126	10
3	$744	115	7
4	$1,522	150	9
5	$1,979	182	11
6	$1,235	127	13
7	$1,483	159	9
8	$1,152	117	13
9	$1,545	175	8
10	$1,262	168	7
11	$845	127	7
12	$1,055	108	14
13	$1,253	132	10
14	$1,297	137	9
15	$1,147	137	8
16	$1,080	115	12
17	$1,550	182	8
18	$1,047	156	6
19	$1,792	179	9
20	$729	108	6
21	$854	143	6
22	$1,593	187	8
23	$1,175	111	15
24	$1,713	137	15
25	$1,356	194	5
26	$1,822	156	12
27	$1,884	162	11
28	$1,024	117	11
29	$2,131	170	14
30	$785	111	7
31	$1,092	153	6
32	$2,041	184	10

An antique collector believes that the price received for a particular item increases with 1) its age and 2) the number of bidders. The template file contains data on these three variables for 32 recently auctioned comparable items.

a. Estimate amultiple regression model between the auction price (Y) and the explanatory variables (Xs). Interpret the equationby each coefficientof the regression.

b. Evaluate the regression model by interpreting R Square and p-value of the coefficients of each explanatory variables.

c. Evaluate the estimated regression equationby interpreting the ANOVA table for this model, specifically a Significance F for this hypothesis test. Is it a good model?