Movie companies need to predict the gross receipts of individual movies after a movie has debuted. The accompanying results are the first weekend gross, the national gross, and the worldwide gross (in millions of dollars) of six movies.
QUESTION: Compute the coefficient of correlation between first weekend gross and national gross, first weekend gross and worldwide gross, and national gross and worldwide gross.
Find the coefficient of correlation between first weekend gross and national gross.
(Round to three decimal places as needed.)
Title First Weekend National Gross Wordwide Gross
Movie A 90.868 317.036 976.867
Movie B 88.947 261.469 878.796
Movie C 93.682 249.394 795.296
Movie D 102.506 290.303 896.347
Movie E 77.133 292.853 938.099
Movie F 77.965 301.232 934.742
a)
coefficient of correlation between first weekend gross and national gross =-0.2491
b)
as above coefficient of correlation between first weekend gross and worldwide gross =-0.3993
c)
coefficient of correlation between national gross and worldwide gross =0.9424
Movie companies need to predict the gross receipts of individual movies after a movie has debuted....
Movie companies need to predict the gross receipts of individual movies after a movie has debuted. The accompanying results are the first weekend gross, the national gross, and the worldwide gross (in millions of dollars) of six movies. Complete parts (a) through (d) below.. a. Compute the covariance between first weekend gross and national gross, first weekend gross and worldwide gross, and national gross and worldwide gross. QUESTION 1: Find the covariance between first weekend gross and national gross. nothing...
Movie companies need to predict the gross receipts of an individual movie once the movie has debuted. The data in the accompanying table are the first weekend gross, the regional gross, and the worldwide gross (in $millions) of six movies. Complete parts (a) and (b). Title First_Weekend Regional_Gross Worldwide_Gross 1 89.662 319.493 990.146 2 87.276 257.265 870.691 3 93.339 244.795 787.937 4 100.547 287.843 894.053 5 77.121 292.802 952.992 6 76.634 304.855 925.924 a. Compute the coefficient of correlation between...
APPLYING THE CONCEPTS SELF 2.46 Movie companies need to predict the gross Test receipts of individual movies once a movie has de- buted. The following results, stored in Potter Movies are the first weekend gross, the U.S. gross, and the worldwide gross (in Smillions) of the eight Harry Potter movies: U.S. First Worldwide Weekend Gross Gross Title ($millions) (Smillions) (Smillions) Sorcerer's Stone 90.295 317.558 976.458 Chamber of Secrets 88.357 261.988 878.988 Prisoner of Azkaban 93.687 249.539 795.539 Goblet of Fire...
Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using alpha equals0.05. Budget_(x) Gross_(y) 61 66 88 69 53 51 40 56 203 598 101 141 85 48 Is there sufficient evidence to conclude that there is a linear correlation between budgets and gross receipts? Do the results change if the actual...
Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Answer parts a-c. Budget (x) 62 88 52 39 191 105 87 Gross (y) 67 69 44 55 617 143 47 Click here to view a table of critical values for the correlation coefficient. LOADING... a. Find the value of the linear correlation coefficient r. requals nothing (Round to three decimal places as needed.)
Online Trailer Views (millions)
Opening Weekend Box Office Gross ($millions)
55.111
34.124
9.416
6.181
7.71
5.578
5.895
23.917
83.065
102.533
32.862
62.143
24.105
19.96
5.005
9.721
4.986
11.059
45.03
34.715
10.232
20.686
25.461
17.497
2.238
3.926
55.386
149.481
4.512
9.113
11.469
12.88
11.472
2.08
1.666
1.816
0.792
0.4
3.985
4.444
3.476
1.652
10.421
1.069
33.085
99.151
1.386
3.904
5.535
9.989
6.637
13.392
55.098
46.803
4.953
3.993
28.861
15.018
4.282
5.937
11.836
9.929
60.033
44.189
82.933
176.137
4.346
7.222
33.811
61.791...
A)FIND THE CRITICAL VALUES
B)Is there sufficient evidence to conclude that there is a
linear correlation between the two variables?
Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Answer parts a-c. Budget (x) Gross (y) 61 70 95 63 45 47 31 55 195 696 100 142 94 48 Click here to view a table of critical values for the correlation coefficient. a. Find the value of...
The best predicted gross for a movie with a
$125
million budget is............million.
co Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. х 11 y 12.29 12 12.17 8 10.68 5 6.11 14 9 10.93 11.55 6 7.97 13 11.71 10 12.08 4 3.93 7 9.49 Ý=+* (Round to two decimal places as needed.) Create a scatterplot of the...
***PLEASE DO ALL THIS IS MY LAST QUESTION OF THE GIVEN AMOUNT OF
QUESTIONS :( ***
Which value of r indicates a stronger correlation:r 0.751 orr0.896? Explain your reasoning Choose the correct answer below. A. r=-0.896 represents a stronger correlation because 0.751 >-0.896. B. r=0.751 represents a stronger correlation because l-08961-10.751. C· r--0 896 represents a stronger correlation because 1-0 8961-10751. D. 0.751 represents a stronger correlation because 0.751> -0.896. The budget (in millions of dollars) and worldwide gross (in...
The best predicted number of Nobel
Laureates when the number of internet users per 100 is 78.4 is
....... round to one decimal place as needed
The best predicted gross for a movie with a $10 million budget
is ...........million. (Round to one decimal place as
needed.)
Find the regression equation, letting the first variable be the predictor (x) variable. Find the best predicted Nobel Laureate rate for a country that has 78.4 Internet users per 100 people. How does...