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a) Compute SST, SSR and SSE. b) Compute the coefficient of determination r2 c) What is the percentage of variation in the observed values of the response variable is explained by regression? d) How useful is the regression equation for making predictions? the table i &.5. Add Lolumn for yh E y?_ (Zy)? %3D SST = 5yy boo

a) Compute SST, SSR and SSE. b) Compute the coefficient of determination r2 c) What is the percentage of variation in the observed values of the response variable is explained by regression? d) How useful is the regression equation for making predictions? the table i &.5. Add Lolumn for yh E y?_ (Zy)? %3D SST = 5yy boo

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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Can you please answer D only? Thank you!

* A random sample of nine custom homes provided the following data on size and price. X denotes size in hundreds of square feet and y denotes price in thousands of dollars 26 27 33 29 29 34 30 40 Y 540 555 575 577 606 661 738 804 496 22
Transcribed Image Text:* A random sample of nine custom homes provided the following data on size and price. X denotes size in hundreds of square feet and y denotes price in thousands of dollars 26 27 33 29 29 34 30 40 Y 540 555 575 577 606 661 738 804 496 22
Q. 6 For the same custom homes data, a) Compute SST, SSR and SSE. b) Compute the coefficient of determination r2 c) What is the percentage of variation in the observed values of the response variable is explained by regression? d) How useful is the regression equation for making predictions? In the table i &.5. Add Lolummn for y Syya E y?_ %3D SST e 241b00 2 308025 S SR = E x? - CIx)? SSE 2 Syy Sxx SSR S ST Totat % of variation explained by regression How good is it ?
Transcribed Image Text:Q. 6 For the same custom homes data, a) Compute SST, SSR and SSE. b) Compute the coefficient of determination r2 c) What is the percentage of variation in the observed values of the response variable is explained by regression? d) How useful is the regression equation for making predictions? In the table i &.5. Add Lolummn for y Syya E y?_ %3D SST e 241b00 2 308025 S SR = E x? - CIx)? SSE 2 Syy Sxx SSR S ST Totat % of variation explained by regression How good is it ?
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