Question
In: Statistics and Probability
Listed Below are paired data consisting of movie budget amounts and the amounts that the movies...
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
$105 million. Use a significance level of alpha equals 0.05.
|
Budget ($)in Millions |
38 |
21 | 115 | 74 | 79 | 51 | 123 | 63 | 7 | 65 | 123 | 19 | 9 | 151 | 7 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Gross ($) in Millions |
114 |
14 | 107 | 62 | 124 | 108 | 109 | 98 | 59 | 113 | 207 | 27 | 20 | 297 | 51 |
The regression equation is
y(carrot) = __ + __x.
(Round to one decimal place)
The best predicted gross for a movie with a $105 million budget is $___million
(Round to one decimal place)
Please make sure I can read your answer! Thank you!
Solutions
orchestra answered 1 year agoRelated Solutions
Listed below are paired data consisting of movie budget amounts and the amounts that the movies...
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
$125
million. Use a significance level of
alpha equals 0.05α=0.05.
Budget left parenthesis $ right parenthesisBudget ($)in
Millionsin Millions
3939
2121
114114
6969
7575
5454
115115
6868
99
6565
126126
1616
1111
148148
88
Gross left parenthesis...
Listed below are paired data consisting of movie budget amounts and the amounts that the movies...
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
$140 million. Use a significance level of α=0.05.
Budget left parenthesis $ right parenthesisBudget ($)in
Millions
40
21
118
74
71
56
120
67
2
64
129
17
13
152
7
Gross left parenthesis $ right parenthesisGross...
Listed below are paired data consisting of movie budget amounts and the amounts that the movies...
Listed below are paired data consisting of movie budget amounts
and the amounts that the movies grossed. Find the
regressionequation, letting the budget be the predictor (x)
variable. Find the best predicted amount that a movie will gross if
its budget is$130 million. Budget left parenthesis $ right
parenthesis in Millions 43 18 120 72 79 53 124 63 5 56 125 17 6 153
10 Gross left parenthesis $ right parenthesis in Millions 125 6 112
68 112 122...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and...
Listed below are paired data consisting of amounts spent on
advertising (in millions of dollars) and the profits (in millions
of dollars). Determine if there is a significant negative linear
correlation between advertising cost and profit . Use a
significance level of 0.01 and round all values to 4 decimal
places. Advertising Cost Profit 3 18 4 22 5 16 6 29 7 24 8 31 9 22
10 29 11 25 Ho: ρ = 0 Ha: ρ < 0...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and...
Listed below are paired data consisting of amounts spent on
advertising (in millions of dollars) and the profits (in millions
of dollars). Determine if there is a significant positive linear
correlation between advertising cost and profit . Use a
significance level of 0.01 and round all values to 4 decimal
places.
Advertising Cost
Profit
3
23
4
29
5
28
6
21
7
29
8
32
9
21
Ho: ρ = 0
Ha: ρ > 0
Find the Linear Correlation...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and...
Listed below are paired data consisting of amounts spent on
advertising (in millions of dollars) and the profits (in millions
of dollars). Determine if there is a significant linear correlation
between advertising cost and profit . Use a significance level of
0.01 and round all values to 4 decimal places.
Advertising CostProfit
323
422
523
626
723
825
919
1025
1133
Ho: ρ = 0
Ha: ρ ≠ 0
Find the Linear Correlation Coefficient
r =
Find the p-value
p-value...
The data below shows the titles of ten movies from 2018, the production budget and domestic...
The data below shows the titles of ten movies from 2018, the
production budget and domestic box office receipts (in millions).
For example, Black Panther's budget was $200 million and the box
office revenues in the US totaled $700 million.
Title
Production Budget
Domestic Box Office
Black Panther
200
700
Deadpool 2
110
325
A Star is Born
36
202
Vice
60
30
Crazy Rich Asians
30
175
Mary Poppins Returns
130
139
Creed II
50
114
Christopher Robin
75...
Listed below are amounts of bills for dinner and the amounts of the tips that were...
Listed below are amounts of bills for dinner and the amounts of
the tips that were left. Construct a scatterplot, find the value
of the linear correlation coefficient r, and find the P-value of
r. Determine whether there is sufficient evidence to support a
claim of linear correlation between the two variables. Use a
significance level of α = 0.01. If everyone were to tip with the
same percentage, what should be the value of r?
Bill (dollars) 31.62...
Listed below are amounts of bills for dinner and the amounts of the tips that were...
Listed below are amounts of bills for dinner and the amounts of
the tips that were left. Construct a scatterplot, find the value
of the linear correlation coefficient r, and find the P-value of
r. Determine whether there is sufficient evidence to support a
claim of linear correlation between the two variables. Use a
significance level of α = 0.01. If everyone were to tip with the
same percentage, what should be the value of r? Bill (dollars)
31.62 52.20...
Listed below are amounts of bills for dinner and the amounts of the tips that were...
Listed below are amounts of bills for dinner and the amounts of
the tips that were left. Construct a scatterplot, find the value
of the linear correlation coefficient r, and find the P-value of
r. Determine whether there is sufficient evidence to support a
claim of linear correlation between the two variables. Use a
significance level of α = 0.01. If everyone were to tip with the
same percentage, what should be the value of r?
Bill (dollars) 31.62...
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