Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is

$140 million. Use a significance level of =0.05.

Budget($)inMillions	41	22	117	70	72	53	119	66	4	57	126	18	11	146	6
Gross($) inMillions	126	6	107	70	113	106	109	106	55	101	212	25	12	282	43

the critical values of the Pearson correlation coefficient r.

n	=0.05	=0.01	NOTE: To test H0: =0 against H1: 0, reject H0 if the absolute value of r is greater than the critical value in the table.
4	0.950	0.990
5	0.878	0.959
6	0.811	0.917
7	0.754	0.875
8	0.707	0.834
9	0.666	0.798
10	0.632	0.765
11	0.602	0.735
12	0.576	0.708
13	0.553	0.684
14	0.532	0.661
15	0.514	0.641
16	0.497	0.623
17	0.482	0.606
18	0.468	0.590
19	0.456	0.575
20	0.444	0.561
25	0.396	0.505
30	0.361	0.463
35	0.335	0.430
40	0.312	0.402
45	0.294	0.378
50	0.279	0.361
60	0.254	0.330
70	0.236	0.305
80	0.220	0.286
90	0.207	0.269
100	0.196	0.256
n	=0.05	=0.01

QUESTIONS:

1. The regression equation is y=________+ __________x. (Round to one decimal place as needed.)

2. The best predicted gross for a movie with a $140 million budget is $ __________ million. (Round to one decimal place as need