1.Model 1: OLS, using observations 1-706Dependent variable: RST CoefficientStd. Errort-ratiop-value const3586.3838.912492.17<0.0001***TOTWRK−0.1507460.0167403−9.005<0.0001*** Mean dependent var3266.356S.D. dependent var444.4134Sum squared resid1.25e+08S.E. of regression421.1357R-squared0.103287Adjusted R-squared0.102014F(1, 704)81.08987P-value(F)1.99e-1810538.19Log-likelihood−5267.096Akaike criterion10538.19Schwarz criterion10547.31Hannan-Quinn10541.71RSTi =3586.38−0.150746 x TOTWRKi , R2=0.103287,SER=421.1357 (38.9124) (0.0167403) Question? could you please help with this question below.3) By observing the GRETL output in Part (1) above, provide a detailed explanation of the coefficient of determination. Based on your analysis, is this a good model? Why or why not?

The coefficient of determination is the measure of the efficiency of a regression model, the value…

Answered: 1. Model 1: OLS, using observations…

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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Model 1: OLS, using observations 1-706

Dependent variable: RST

	Coefficient	Std. Error	t-ratio	p-value
const	3586.38	38.9124	92.17	<0.0001	***
TOTWRK	−0.150746	0.0167403	−9.005	<0.0001	***

Mean dependent var	3266.356	S.D. dependent var	444.4134
Sum squared resid	1.25e+08	S.E. of regression	421.1357
R-squared	0.103287	Adjusted R-squared	0.102014
F(1, 704)	81.08987	P-value(F)	1.99e-1810538.19
Log-likelihood	−5267.096	Akaike criterion	10538.19
Schwarz criterion	10547.31	Hannan-Quinn	10541.71

RST_i=3586.38−0.150746 x TOTWRK_i, R²=0.103287,SER=421.1357

(38.9124) (0.0167403)

Question? could you please help with this question below.

3) By observing the GRETL output in Part (1) above, provide a detailed explanation of the coefficient of determination. Based on your analysis, is this a good model? Why or why not?

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