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 $105 million. Use a significance level of a = 0.05. Budget ($)in Millions Gross ($) in Millions 42 21 114 71 72 49 115 68 10 61 120 19 148 119 19 111 71 121 116 98 100 59 106 222 30 23 294 51 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y = +

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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ANSWER ATTACHED QUESTION PLEASE 

and part 2

"The best predicted gross for a movie with a $105 million dollar budget is $_____________________million ???

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 $105 million. Use a significance level of a = 0.05.
Budget ($)in Millions
Gross ($)
in Millions
42
21
114
71
72
49
115
68
10
61
120
19
148
119
19
111
71
121
116
98
100
59
106
222
30
23
294
51
Click the icon to view the critical values of the Pearson correlation coefficient r.
The regression equation is y =
+
Transcribed Image Text: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 $105 million. Use a significance level of a = 0.05. Budget ($)in Millions Gross ($) in Millions 42 21 114 71 72 49 115 68 10 61 120 19 148 119 19 111 71 121 116 98 100 59 106 222 30 23 294 51 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y = +
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