Month	Inspection Expenditures	Motors Returned
1	$43,549	67
2	$55,831	64
3	$48,529	65
4	$48,551	65
5	$69,286	65
6	$64,390	64
7	$58,323	64
8	$76,902	67
9	$65,976	64
10	$43,437	67
11	$41,495	67
12	$55,067	64
13	$60,743	64
14	$41,061	68
15	$64,578	64
16	$70,219	65
17	$68,254	65
18	$50,930	65
19	$76,354	67
20	$43,927	67
21	$60,250	64
22	$42,219	67
23	$79,183	68
24	$66,628	64
25	$79,675	68
26	$52,793	65
27	$50,579	65
28	$66,856	64
29	$42,954	67
30	$62,449	64
31	$42,732	67
32	$78,455	67
33	$74,487	66
34	$62,685	64
35	$74,411	66
36	$42,407	67

a. Estimate a simple linear regression equation using the given data.

If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)

The predicted number of motors returned when the inspection expenditures is $0: _____

The predicted change in number of motors returned that is associated with an increase of $1,000 in inspection expenditures: _____