I estimate a multiple linear regression model with  four explanatory variables and a sample size of 255 observations. The RSS of this model is 0.244821, the adjusted R squared is 0.646379. When I regress the depended variable on a constant only , I find that the RSS  of this simple model is 0.703404   The value of the realized F stat for the test on the significance of the regression is :      Question 3Select one: a. 117.0707 and the null is that all betas are simultaneously equal to zero b. 145.056123 and the null is that all betas except the interecpt  are simultaneously equal to zero c. 145.056123 and the null is that all betas are simultaneously equal to zero d. 117.0707 and the null is that all betas  except the intercept are simultaneously equal to zero e. 145.056123 and the null is that the model is in the overall significant for the population statistically at 1% significance level

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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I estimate a multiple linear regression model with  four explanatory variables and a sample size of 255 observations. The RSS of this model is 0.244821, the adjusted R squared is 0.646379. When I regress the depended variable on a constant only , I find that the RSS  of this simple model is 0.703404

 

The value of the realized F stat for the test on the significance of the regression is : 

 

 

Question 3Select one:

a.

117.0707 and the null is that all betas are simultaneously equal to zero

b.

145.056123 and the null is that all betas except the interecpt  are simultaneously equal to zero

c.

145.056123 and the null is that all betas are simultaneously equal to zero

d.

117.0707 and the null is that all betas  except the intercept are simultaneously equal to zero

e.

145.056123 and the null is that the model is in the overall significant for the population statistically at 1% significance level

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