2) Data were collected to explain the an employee's annual income̟raise (expressed in $'s) based on the employee's rating (on a scale of 1-20) Complete the Table Below Regression Statistics Multiple R...

Data was collected to explain an employee’s annual income raise (expressed in $’s) based on the employee’s rating (on a scale of 1-20) Based on the regression results, answer the following questions a) What is the estimated regression equation? b) What percentage of the variation in raises is explained by rating? c) What is the correlation between rating and raise?2) Data were collected to explain the an employee's annual income̟raise (expressed in $'s) based on the<br>employee's rating (on a scale of 1-20)<br>Complete the Table Below<br>Regression<br>Statistics<br>Multiple R<br>R Square<br>Adjusted R Square<br>Standard Error<br>0.709<br>Observations<br>8<br>ANOVA<br>df<br>SS<br>MS<br>F<br>Significance F<br>Regression<br>726978.8<br>18.0<br>0.005394931<br>Residual<br>241771.2<br>Total<br>Standard<br>Upper<br>95%<br>Coefficients<br>Error<br>t Stat<br>P-value<br>Lower 95%<br>Intercept<br>rating<br>-201.5<br>543.6<br>0.724<br>146.5<br>34.5<br>0.005<br>

Extracted text: 2) Data were collected to explain the an employee's annual income̟raise (expressed in $'s) based on the employee's rating (on a scale of 1-20) Complete the Table Below Regression Statistics Multiple R R Square Adjusted R Square Standard Error 0.709 Observations 8 ANOVA df SS MS F Significance F Regression 726978.8 18.0 0.005394931 Residual 241771.2 Total Standard Upper 95% Coefficients Error t Stat P-value Lower 95% Intercept rating -201.5 543.6 0.724 146.5 34.5 0.005

Jun 11, 2022
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