A researcher obtains the following STATA output by regressing salary (salary. $) on years of prior experience (priorexp). Source Model 2.3573e+09 Residual 1.3938e+11 Total salary priorexp _cons 0.0166 0.0081 SS 0,6284 What is the R2 of this model? 0.9833 1.4174e+11 Coef. df 1 723 724 Std. Err. 376.3852 107.6373 46709.43 602.7425 MS 2.3573e+09 192783542 Number of obs = F(1, 723) Prob > F R-squared t Adj R-quared 195773163 Root MSE 725 P>|t| [95% Conf. Interval]
A researcher obtains the following STATA output by regressing salary (salary. $) on years of prior experience (priorexp). Source Model 2.3573e+09 Residual 1.3938e+11 Total salary priorexp _cons 0.0166 0.0081 SS 0,6284 What is the R2 of this model? 0.9833 1.4174e+11 Coef. df 1 723 724 Std. Err. 376.3852 107.6373 46709.43 602.7425 MS 2.3573e+09 192783542 Number of obs = F(1, 723) Prob > F R-squared t Adj R-quared 195773163 Root MSE 725 P>|t| [95% Conf. Interval]
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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