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The adjusted R2 is.

The adjusted R2 is.

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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A multiple regression analysis produced the following tables.


Predictor Coefficients Standard
Error
t Statistic p-value
Intercept 624.5369 78.49712 7.956176 6.88E-06
x 8.569122 1.652255 5.186319 0.000301
x 4.736515 0.699194 6.774248 3.06E-05
Source df SS MS F p-value
Regression
2 1660914 830457.1 58.31956
1.4E06
Residual 11 156637.5 14239.77
Total 13 1817552
The adjusted R is ____________.

0.9138
0.8891
0.8851
0.8981

A multiple regression analysis produced the following tables. Predictor Coefficients Intercept 624.5369 8.569122 X1 X2 Standard Error 78.49712 1.652255 4.736515 0.699194 6.774248 3.06E-05 Source Regression df 0.9138 0.8891 0.8851 0.8981 0.9408 SS The adjusted R² is MS Residual 11 156637.5 14239.77 Total 13 1817552 t Statistic p-value 7.956176 6.88E-06 5.186319 0.000301 2 1660914 830457.1 58.31956 F p- value 1.4E- 06
Transcribed Image Text:A multiple regression analysis produced the following tables. Predictor Coefficients Intercept 624.5369 8.569122 X1 X2 Standard Error 78.49712 1.652255 4.736515 0.699194 6.774248 3.06E-05 Source Regression df 0.9138 0.8891 0.8851 0.8981 0.9408 SS The adjusted R² is MS Residual 11 156637.5 14239.77 Total 13 1817552 t Statistic p-value 7.956176 6.88E-06 5.186319 0.000301 2 1660914 830457.1 58.31956 F p- value 1.4E- 06
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