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 $120 million. Use a significance level of

=0.05.

Budget($)inMillions	41	18	111	67	75	55	124	69	7	60	130	18	5	148	11
Gross($) inMillions	115	21	110	63	118	126	104	104	58	100	209	36	15	298	38

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 $120 million budget is $ __________ million. (Round to one decimal place as needed.)