![Lecture 24: Thurs. Dec. 4 Extra sum of squares F-tests (10.3) R-squared statistic (10.4.1) Residual plots (11.2) Influential observations (11.3, ppt download Lecture 24: Thurs. Dec. 4 Extra sum of squares F-tests (10.3) R-squared statistic (10.4.1) Residual plots (11.2) Influential observations (11.3, ppt download](https://images.slideplayer.com/16/5138437/slides/slide_3.jpg)
Lecture 24: Thurs. Dec. 4 Extra sum of squares F-tests (10.3) R-squared statistic (10.4.1) Residual plots (11.2) Influential observations (11.3, ppt download
![Lecture 24: Thurs. Dec. 4 Extra sum of squares F-tests (10.3) R-squared statistic (10.4.1) Residual plots (11.2) Influential observations (11.3, ppt download Lecture 24: Thurs. Dec. 4 Extra sum of squares F-tests (10.3) R-squared statistic (10.4.1) Residual plots (11.2) Influential observations (11.3, ppt download](https://images.slideplayer.com/16/5138437/slides/slide_4.jpg)
Lecture 24: Thurs. Dec. 4 Extra sum of squares F-tests (10.3) R-squared statistic (10.4.1) Residual plots (11.2) Influential observations (11.3, ppt download
![SOLVED: To test a set of q restrictions in a linear regression model, we use the F statistic (SSR; SSRur) / (q SSRur / (n - k + 1)). Show that the SOLVED: To test a set of q restrictions in a linear regression model, we use the F statistic (SSR; SSRur) / (q SSRur / (n - k + 1)). Show that the](https://cdn.numerade.com/ask_images/1f9521a6054446f68bbe364bbfbf72f4.jpg)
SOLVED: To test a set of q restrictions in a linear regression model, we use the F statistic (SSR; SSRur) / (q SSRur / (n - k + 1)). Show that the
![Goodness of Fit The sum of squared deviations from the mean of a variable can be decomposed as follows: TSS = ESS + RSS This decomposition can be used. - ppt download Goodness of Fit The sum of squared deviations from the mean of a variable can be decomposed as follows: TSS = ESS + RSS This decomposition can be used. - ppt download](https://slideplayer.com/slide/15128177/91/images/4/Relationship+between+the+F-statistic+and+R-squared.jpg)