In order to calculate the regression $R ^ { 2 }$ you need the TSS and either the SSR or the ESS . The TSS is fairly straightforward to calculate, being just the variation of Y . However, if you had to calculate the SSR or ESS by hand (or in a spreadsheet), you would need all fitted values from the regression function and their deviations from the sample mean, or the residuals. Can you think of a quicker way to calculate the ESS simply using terms you have already used to calculate the slope coefficient?

Question

In order to calculate the regression  $R ^ { 2 }$ you need the  TSS  and either the  SSR  or the  ESS . The TSS is fairly straightforward to calculate, being just the variation of  Y . However, if you had to calculate the  SSR  or  ESS  by hand (or in a spreadsheet), you would need all fitted values from the regression function and their deviations from the sample mean, or the residuals. Can you think of a quicker way to calculate the ESS simply using terms you have already used to calculate the slope coefficient?

Quizplus · Accepted Answer

The Answer of In order to calculate the regression  $R ^ { 2 }$ you need the  TSS  and either the  SSR  or the  ESS . The TSS is fairly straightforward to calculate, being just the variation of  Y . However, if you had to calculate the  SSR  or  ESS  by hand (or in a spreadsheet), you would need all fitted values from the regression function and their deviations from the sample mean, or the residuals. Can you think of a quicker way to calculate the ESS simply using terms you have already used to calculate the slope coefficient?

In Order to Calculate the Regression R2R ^ { 2 }R2

In Order to Calculate the Regression $R ^ { 2 }$