Based on the following partial regression output from our housing price model, what is the approximate maximum cost per square foot that is supported by a 68% confidence interval on the slope? Coefficients: Estimate Std. Error t value Pr(> [t|) (Intercept) 4781.930661 6285.481916 0.76079 0.44834 SQFT 61.366681 3.624592 16.93065 < 2e-16 O 67.38 O 17,101.47 O 68.47 O 64.99
Based on the following partial regression output from our housing price model, what is the approximate maximum cost per square foot that is supported by a 68% confidence interval on the slope? Coefficients: Estimate Std. Error t value Pr(> [t|) (Intercept) 4781.930661 6285.481916 0.76079 0.44834 SQFT 61.366681 3.624592 16.93065 < 2e-16 O 67.38 O 17,101.47 O 68.47 O 64.99
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Transcribed Image Text:Based on the following partial regression output from our housing price model, what is the approximate maximum cost
per square foot that is supported by a 68% confidence interval on the slope?
Coefficients:
Estimate Std. Error t value Pr(>/t/)
(Intercept) 4781.930661 6285.481916 0.76079 0.44834
SQFT
61.366681 3.624592 16.93065 < 2e-16
O 67.38
O 17,101.47
O 68.47
O 64.99
O 69.80
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