Movie Budgets and Grosses The budget (in millions of dollars) and worldwide gross (in millions of dollars) for eight of the most expensive movies ever made are listed in the table below. Since there was a significant positive linear correction at the 10% level of significance, answer the following questions. Budget 300 258 250 210 232 230 225 207 Gross 961 891 937 836 391 576 419 551 1. What is the least-squares regression line that represents the data? Round the values to the tenth. ŷ -433.4 X + 4.7
Movie Budgets and Grosses The budget (in millions of dollars) and worldwide gross (in millions of dollars) for eight of the most expensive movies ever made are listed in the table below. Since there was a significant positive linear correction at the 10% level of significance, answer the following questions. Budget 300 258 250 210 232 230 225 207 Gross 961 891 937 836 391 576 419 551 1. What is the least-squares regression line that represents the data? Round the values to the tenth. ŷ -433.4 X + 4.7
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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
Transcribed Image Text:Movie Budgets and Grosses The budget (in millions of dollars) and worldwide gross (in
millions of dollars) for eight of the most expensive movies ever made are listed in the
table below. Since there was a significant positive linear correction at the 10% level of
significance, answer the following questions.
Budget 300 258 250 210 232 230 225 207
Gross 961 891 937 836 391 576 419 551
1. What is the least-squares regression line that represents the data? Round the values
to the tenth.
ŷ =
-433.4
X+ 4.7

Transcribed Image Text:4. Complete the following table. Round the values to the tenth. Write "NA" if not
applicable. Units Provided
Budget (in millions
of dollars)
$250
$200
tA
Predicted Gross (in
millions of dollars)
$
$
LA
$1000
Interpolation or
Extrapolation
Residual (if any)
ΝΑ
5. What are the coordinates of the baseline point, (x, y)? Round to the tenth. Units are
unnecessary.
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