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4points StatCrunch researchers collected data on over 5,000 movies made in the USA. They found that as the budget of the movie increased, so did the domestic gross bo. office. The relationship between the variables was found to be approximately linear and the residual plot showed random scatter. The variables were converted to millions of dollars. Here is the computer output. Predictor Coef SE Coef P Constant 7.28 0.875 8.321 <0.0001 Domestic Gross 1.222 0.0166 67.117 <0.0001 S = 49.79 R-Sq = 46.3% R-Sq (adj) = 48.1% a) Write the regression equation. Define the variables of your equation. b) Interpret the slope in context. c.) Interpret R in context.

4points StatCrunch researchers collected data on over 5,000 movies made in the USA. They found that as the budget of the movie increased, so did the domestic gross bo. office. The relationship between the variables was found to be approximately linear and the residual plot showed random scatter. The variables were converted to millions of dollars. Here is the computer output. Predictor Coef SE Coef P Constant 7.28 0.875 8.321 <0.0001 Domestic Gross 1.222 0.0166 67.117 <0.0001 S = 49.79 R-Sq = 46.3% R-Sq (adj) = 48.1% a) Write the regression equation. Define the variables of your equation. b) Interpret the slope in context. c.) Interpret R in context.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.3: Using Data Displays
Problem 2C
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Could u answer a b c and d please?
a hcpss.instructure.com/courses/163890/external_tools/retrieve?display=full_width&url=https%3A%2F%2Fhcpss.quiz-Iti-iad-pr. O * 国 Read Return Next 5 4 points 国 StatCrunch researchers collected data on over 5,000 movies made in the USA. They found that as the budget of the movie increased, so did the domestic gross box office. The relationship between the variables was found to be approximately linear and the residual plot showed random scatter. The variables were converted to millions of dollars. Here is the computer output. Predictor Coef SE Coef T. Constant 7.28 0.875 8.321 <0.0001 Domestic Gross 1.222 0.0166 67.117 <0.0001 S = 49.79 R-Sq = 46.3% R-Sq (adj) = 48.1% a) Write the regression equation. Define the variables of your equation. 9 b) Interpret the slope in context. c.) Interpret R2 in context. 10 d.) The movie Avatar was incredibly expensive to make with a budget of $425 million. However, it was also very successful in the box office with a domestic gross of $761 million. Find and interpret the residual for this movie. 11 12 T. Drag n' Drop here or Browse Sign out 11:18 acer
Transcribed Image Text:a hcpss.instructure.com/courses/163890/external_tools/retrieve?display=full_width&url=https%3A%2F%2Fhcpss.quiz-Iti-iad-pr. O * 国 Read Return Next 5 4 points 国 StatCrunch researchers collected data on over 5,000 movies made in the USA. They found that as the budget of the movie increased, so did the domestic gross box office. The relationship between the variables was found to be approximately linear and the residual plot showed random scatter. The variables were converted to millions of dollars. Here is the computer output. Predictor Coef SE Coef T. Constant 7.28 0.875 8.321 <0.0001 Domestic Gross 1.222 0.0166 67.117 <0.0001 S = 49.79 R-Sq = 46.3% R-Sq (adj) = 48.1% a) Write the regression equation. Define the variables of your equation. 9 b) Interpret the slope in context. c.) Interpret R2 in context. 10 d.) The movie Avatar was incredibly expensive to make with a budget of $425 million. However, it was also very successful in the box office with a domestic gross of $761 million. Find and interpret the residual for this movie. 11 12 T. Drag n' Drop here or Browse Sign out 11:18 acer
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