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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.)

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter1: Fundamental Concepts Of Algebra
Section1.4: Fractional Expressions
Problem 7E
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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.)

 

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: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
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
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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