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Which of the following is the best interpretation of the computer output? The P-values signify that there is zero correlation between house size and price. The variability in house sizes accounts for exactly 99% of the variability in selling prices The variability in house sizes accounts for 99.97% of the variability in selling prices. Ravenweyr would have to pay somebody to take a 200-square foot studio condo off their hands

Which of the following is the best interpretation of the computer output? The P-values signify that there is zero correlation between house size and price. The variability in house sizes accounts for exactly 99% of the variability in selling prices The variability in house sizes accounts for 99.97% of the variability in selling prices. Ravenweyr would have to pay somebody to take a 200-square foot studio condo off their hands

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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SATUIT VIVUSUUS Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Size 0.9998 0.9997 0.9996 12670.3022 35.0000 df SS MS F 1.0000 15141585214185.8000 15141585214185.8000 94318.6113 33.0000 5297706414.5012 160536558.0152 34.0000 15146882920600.3000 Coefficients -45938.6917 213.7141 Standard Error 2679.8937 0.6959 t Stat -17.1420 307.1134 P-value 0.0000 0.0000 Which of the following is the best interpretation of the computer output? The P-values signify that there is zero correlation between house size and price. The variability in house sizes accounts for exactly 99% of the variability in selling prices. The variability in house sizes accounts for 99.97% of the variability in selling prices Ravenweyr would have to pay somebody to take a 200-square foot studio condo off their hands >
Transcribed Image Text:SATUIT VIVUSUUS Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Size 0.9998 0.9997 0.9996 12670.3022 35.0000 df SS MS F 1.0000 15141585214185.8000 15141585214185.8000 94318.6113 33.0000 5297706414.5012 160536558.0152 34.0000 15146882920600.3000 Coefficients -45938.6917 213.7141 Standard Error 2679.8937 0.6959 t Stat -17.1420 307.1134 P-value 0.0000 0.0000 Which of the following is the best interpretation of the computer output? The P-values signify that there is zero correlation between house size and price. The variability in house sizes accounts for exactly 99% of the variability in selling prices. The variability in house sizes accounts for 99.97% of the variability in selling prices Ravenweyr would have to pay somebody to take a 200-square foot studio condo off their hands >
36. The regression analysis below describes the relationship between selling price and house size for 35 of Ravenweyr Realty's properties Ravenweyr Selling Price vs. House Size Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Size 0.9998 0.9997 0.9996 12670.3022 35.0000 df SS MS F 1.0000 15141585214185.8000 15141585214185.8000 94318.6113 33.0000 5297706414,5012 160536558.0152 34.0000 15146882920600.3000 Coefficients -45938.6917 213.7141 Standard Error 2679.8937 0.6959 t Stat -17.1420 307.1134 P-value 0.0000 0.0000
Transcribed Image Text:36. The regression analysis below describes the relationship between selling price and house size for 35 of Ravenweyr Realty's properties Ravenweyr Selling Price vs. House Size Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Size 0.9998 0.9997 0.9996 12670.3022 35.0000 df SS MS F 1.0000 15141585214185.8000 15141585214185.8000 94318.6113 33.0000 5297706414,5012 160536558.0152 34.0000 15146882920600.3000 Coefficients -45938.6917 213.7141 Standard Error 2679.8937 0.6959 t Stat -17.1420 307.1134 P-value 0.0000 0.0000
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