l estimate a multiple linear regression model with three explanatory variables and a sample size of 363 observations. The RSS of this model is 0.428217, the adjusted R squared is 0.453103. When I regress the depended variable on a constant only, I find that the RSS of this simple model is 0.789537 The value of the realized F stat for the test on the significance of the regression is: Select one: Ⓒa. 100.9721 and the null is that all betas except the intercept are simultaneously equal to zero O b. 145.056123 and the null is that the model is in the overall significant for the population statistically at 1% significance level O c. 145.056123 and the null is that all betas are simultaneously equal to zero O d. 145.056123 and the null is that all betas except the interecpt are simultaneously equal to zero O e. 100.9721 and the null is that all betas are simultaneously equal to zero Clear m My Mood my choice

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Chapter1: Making Economics Decisions
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I estimate a multiple linear regression model with three explanatory variables and a sample size of 363
observations. The RSS of this model is 0.428217, the adjusted R squared is 0.453103. When I regress the
depended variable on a constant only, I find that the RSS of this simple model is 0.789537
The value of the realized F stat for the test on the significance of the regression is:
Select one:
Ⓒa. 100.9721 and the null is that all betas except the intercept are simultaneously equal to zero
O b. 145.056123 and the null is that the model is in the overall significant for the population
statistically at 1% significance level
145.056123 and the null is that all betas are simultaneously equal to zero
Gm.
My Moodle
O c.
O d.
145.056123 and the null is that all betas except the interecpt are simultaneously equal to zero
O e. 100.9721 and the null is that all betas are simultaneously equal to zero
Clear my choice
Transcribed Image Text:I estimate a multiple linear regression model with three explanatory variables and a sample size of 363 observations. The RSS of this model is 0.428217, the adjusted R squared is 0.453103. When I regress the depended variable on a constant only, I find that the RSS of this simple model is 0.789537 The value of the realized F stat for the test on the significance of the regression is: Select one: Ⓒa. 100.9721 and the null is that all betas except the intercept are simultaneously equal to zero O b. 145.056123 and the null is that the model is in the overall significant for the population statistically at 1% significance level 145.056123 and the null is that all betas are simultaneously equal to zero Gm. My Moodle O c. O d. 145.056123 and the null is that all betas except the interecpt are simultaneously equal to zero O e. 100.9721 and the null is that all betas are simultaneously equal to zero Clear my choice
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