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 $130 million. Use a significance level of α=0.05. A. The regression equation is Y= (Round to one decimal place as needed.) B. The best predicted gross for a movie with a $130 million budget is $ million. (Round to one decimal place as needed.)
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 $130 million. Use a significance level of α=0.05. A. The regression equation is Y= (Round to one decimal place as needed.) B. The best predicted gross for a movie with a $130 million budget is $ million. (Round to one decimal place as needed.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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 $130 million. Use a significance level of α=0.05.
A. The regression equation is
Y=
(Round to one decimal place as needed.)
B. The best predicted gross for a movie with a $130 million budget is
$ million.
(Round to one decimal place as needed.)
Transcribed Image Text:Budget ($)in Millions
Gross ($)
in Millions
36 20
8
109
112 74
99
67
70
111
57
119
122
110
67
101 53
9
59
104
128
218
23
42 26
10
148
284
5ㄷ
46
Transcribed Image Text:n
4
5
6
17
8
9
10
11
12
13
14
15
16
17
18
19
20
25
30
35
40
45
50
60
70
80
90
100
In
Critical Values of the Pearson Correlation Coef
x = 0.05
x = 0.01
0.950
0.990
0.878
0.959
0.811
0.917
0.754
0.875
0.707
0.834
0.666
0.798
0.632
0.765
0.602
0.735
0.576
0.708
0.553
0.684
0.532
0.661
0.514
0.641
0.497
0.623
0.482
0.606
0.468
0.590
0.456
0.575
0.444
0.561
0.396
0.505
0.361
0.463
0.335
0.430
0.312
0.402
0.294
0.378
0.279
0.361
0.254
0.330
0.236
0.305
0.220
0.286
0.207
0.269
0.196
0.256
x = 0.05
x = 0.01
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