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1975 4113 Square Footage Selling Price 2204 3183 1128 3101 2769 379.9 375 189.9 338 619.9 370 627.7 in Thousands a. What is the explanatory variable? b. We calculate that r = 0.8617. Briefly describe how to interpret that value for this particular information. C. We also know that ĩ = 2639,ỹ = 414.34, sỵ = 967.14, s, = 157.42. Find the least squares regression line.

1975 4113 Square Footage Selling Price 2204 3183 1128 3101 2769 379.9 375 189.9 338 619.9 370 627.7 in Thousands a. What is the explanatory variable? b. We calculate that r = 0.8617. Briefly describe how to interpret that value for this particular information. C. We also know that ĩ = 2639,ỹ = 414.34, sỵ = 967.14, s, = 157.42. Find the least squares regression line.

MATLAB: An Introduction with Applications
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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d. Use your answer above to predict the cost of a 3000 square foot house. e. Explain what the y-intercept of your equation in part c represents. Does it make sense to consider it?
Transcribed Image Text:d. Use your answer above to predict the cost of a 3000 square foot house. e. Explain what the y-intercept of your equation in part c represents. Does it make sense to consider it?
Square 2204 3183 1128 1975 3101 2769 4113 Footage Selling Price 379.9 375 189.9 338 619.9 370 627.7 in Thousands а. What is the explanatory variable? b. We calculate that r = 0.8617. Briefly describe how to interpret that value for this particular information. C. We also know that i = 2639, ỹ = 414.34, sx = 967.14, s, = 157.42. Find the least squares regression line.
Transcribed Image Text:Square 2204 3183 1128 1975 3101 2769 4113 Footage Selling Price 379.9 375 189.9 338 619.9 370 627.7 in Thousands а. What is the explanatory variable? b. We calculate that r = 0.8617. Briefly describe how to interpret that value for this particular information. C. We also know that i = 2639, ỹ = 414.34, sx = 967.14, s, = 157.42. Find the least squares regression line.
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