The scatter plot shows the theater revenue and rental revenue for each of 21 movies. Also shown is the line of best fit for the data. Fill in the blanks below. 28-y 26- 24 22 20 Rental revenue 18 in millions 16- of dollars 14- 12 10- 8- 6. 4. 2 x 0 10 20 30 40 50 60 70 80 90 100 110 Theater revenue (in millions of dollars) (a) For these 21 movies, as theater revenue increases, rental revenue tends to (Choose one) (b) For these 21 movies, there is (Choose one) ▼ correlation between theater revenue and rental revenue. (c) Using the line of best fit, we would predict that a movie generating a theater revenue of 40 million dollars would generate a rental revenue of approximately (Choose one)
The scatter plot shows the theater revenue and rental revenue for each of 21 movies. Also shown is the line of best fit for the data. Fill in the blanks below. 28-y 26- 24 22 20 Rental revenue 18 in millions 16- of dollars 14- 12 10- 8- 6. 4. 2 x 0 10 20 30 40 50 60 70 80 90 100 110 Theater revenue (in millions of dollars) (a) For these 21 movies, as theater revenue increases, rental revenue tends to (Choose one) (b) For these 21 movies, there is (Choose one) ▼ correlation between theater revenue and rental revenue. (c) Using the line of best fit, we would predict that a movie generating a theater revenue of 40 million dollars would generate a rental revenue of approximately (Choose one)
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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