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 $115 million. Use a significance level of a = 0.05. Budget ($)in Millions Gross ($) in Millions 65 123 22 8 151 115 38 25 115 69 70 49 125 67 10 111 206 41 25 285 43 118 18 100 60 128 121 109 107 65 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y =+x. (Round to one decimal place as needed.)

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LEGE
31-1
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 $115 million. Use a significance level of a = 0.05.
Budget ($)in Millions
Gross ($)
in Millions
Click the icon to view the critical values of the Pearson correlation coefficient r
65
123
22
8
151
11D
38
25
115
69
70
49
125
67
10
111
206
41
25
285
43
118
18
100
60
128
121
109
107
65
The regression equation is y =+x.
(Round to one decimal place as needed.)
ter/
Enter your answer in the edit fields and then click Check Answer.
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Transcribed Image Text:LEGE 31-1 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 $115 million. Use a significance level of a = 0.05. Budget ($)in Millions Gross ($) in Millions Click the icon to view the critical values of the Pearson correlation coefficient r 65 123 22 8 151 11D 38 25 115 69 70 49 125 67 10 111 206 41 25 285 43 118 18 100 60 128 121 109 107 65 The regression equation is y =+x. (Round to one decimal place as needed.) ter/ Enter your answer in the edit fields and then click Check Answer. Check Answer Clear Al 1 part remaining
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