In: Economics
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 |
99 |
Instant Family |
48 |
66 |
Tag |
21 |
60 |
The mean production budget is 76.00 and its standard deviation is 55.68.
The mean Domestic Box office revenue is 190.94 and its standard deviation is 198.10.
The correlation coefficient between the two variables is 0.81
[Useful formulas: slope=rSy/Sx and intercept = mean of Y – (slope * mean of X)]
I believe that movies that spend more in production end up receiving more in box office revenues.
You run a regression of BUDGET on DOMESTIC BOX OFFICE.
According to the regression, for each additional million dollars spent on the budget, do box office receipts increase or decrease?
by how much? (only use one decimal place in your answer)
Let, Production Budget=X
Domestic Box Office=Y
According to the question,
=76 [Where, =Mean of Production Budget]
s.d(x)=55.68 [Where, s.d=standard deviation of production budget]
and,
=190.94 [Where, =mean of domestic box office]
s.d(Y)=198.10 [Where, s.d(Y)= standard deviation of Domestic box office]
Correlation coefficient between two variables rx,y=0.81 i.e, correlation coeficient between Production Budget and Domestic box office
Now, using above informations we will determine the slope of the regression line.
slope()=
=
=0.227
The regression line of Production Budget (x) on Domestic Box Office(Y):
.......(1)
Putting values of , and in equation (1) we get the equation of regression line,
x=76+0.227(Y-190.94)
x=76+0.227Y-43.34
x=32.65+0.227 [here, Intercept=32.65]