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 $130 million. Use a significance level of a = 0.05. 62 9. 60 121 24 9. 152 Budget ($)in Millions Gross ($) 41 21 118 72 74 57 124 116 10 104 58 125 118 100 96 52 95 215 31 20 284 43 in Millions Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r X. The regression equation is y = NOTE: To test Ho: p=0 against H,: p 0, reject Ho lif the absolute value of r is greater than the critical value in the table. (Round to one decimal place as needed.) a = 0.01 0.990 |0.959 0.917 0.875 0.834 0.798 0.765 0.735 |0.708 0.684 0.661 0.641 0.623 0.606 0.590 0.575 0.561 0.505 In a = 0.05 |0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 4 18 19 10 11 12 13 14 15 16 17 18 19 20 25 30 0.576 |0.553 0.532 0.514 |0.497 0.482 |0.468 0.456 0.444 0.396 0.361 0.335 0.312 0.294 0.463 |0.430 0.402 0.378 Enter your answer in the edit fields and then click Check Answer. 35 40 Check Answer part remaining 45 l0.270 0261
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 $130 million. Use a significance level of a = 0.05. 62 9. 60 121 24 9. 152 Budget ($)in Millions Gross ($) 41 21 118 72 74 57 124 116 10 104 58 125 118 100 96 52 95 215 31 20 284 43 in Millions Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r X. The regression equation is y = NOTE: To test Ho: p=0 against H,: p 0, reject Ho lif the absolute value of r is greater than the critical value in the table. (Round to one decimal place as needed.) a = 0.01 0.990 |0.959 0.917 0.875 0.834 0.798 0.765 0.735 |0.708 0.684 0.661 0.641 0.623 0.606 0.590 0.575 0.561 0.505 In a = 0.05 |0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 4 18 19 10 11 12 13 14 15 16 17 18 19 20 25 30 0.576 |0.553 0.532 0.514 |0.497 0.482 |0.468 0.456 0.444 0.396 0.361 0.335 0.312 0.294 0.463 |0.430 0.402 0.378 Enter your answer in the edit fields and then click Check Answer. 35 40 Check Answer part remaining 45 l0.270 0261
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
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 $130
million. Use a significance level of a = 0.05.
62
9.
60
121
24
9.
152
Budget ($)in Millions
Gross ($)
41
21
118
72
74
57
124
116
10
104
58
125
118
100
96
52
95
215
31
20
284
43
in Millions
Click the icon to view the critical values of the Pearson correlation coefficient r.
Critical Values of the Pearson Correlation Coefficient r
X.
The regression equation is y =
NOTE: To test Ho: p=0
against H,: p 0, reject Ho
lif the absolute value of r is
greater than the critical
value in the table.
(Round to one decimal place as needed.)
a = 0.01
0.990
|0.959
0.917
0.875
0.834
0.798
0.765
0.735
|0.708
0.684
0.661
0.641
0.623
0.606
0.590
0.575
0.561
0.505
In
a = 0.05
|0.950
0.878
0.811
0.754
0.707
0.666
0.632
0.602
4
18
19
10
11
12
13
14
15
16
17
18
19
20
25
30
0.576
|0.553
0.532
0.514
|0.497
0.482
|0.468
0.456
0.444
0.396
0.361
0.335
0.312
0.294
0.463
|0.430
0.402
0.378
Enter your answer in the edit fields and then click Check Answer.
35
40
Check Answer
part
remaining
45
l0.270
0261
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman