ANOVA Regression Residual Total SS MS Sion/iconce? 122.24339684 22.2433968 51.42253 1.12222-06 18 7.786103165 0.43256129 19 30.0295 Intercept Keptitems Coefficients Standard Error Stat P-value 16722897 0.847160755 1.97399336 0.063932 0.1032392 0014396861 7.1709506 1.12E-95 Lower 95% Upper 95% lower 95.0% Upper 95 x 0.107529 3.4521084 0.107529 3.45210041 0.0729925 0.1334859 0.0729925 0.13348586 Please answer the following questions. 1. Is this model simple linear regression or multiple linear regression? Why? 2. What is the value of correlation coefficient? Interpret it. 3. How much variation in the performance of stylists can be accounted for by the number of items a customer keeps? 4. Write the regression equation based on the output. 5. What is the slope of the regression equation? Interpret it. 6. Is the regression model significant at 5%? Why or why not? HTML Editora BIA - A - IE 3 1 2 STT 12pt Parage ANOVA Regression Residual Total SS MS Sion/iconce? 122.24339684 22.2433968 51.42253 1.12222-06 18 7.786103165 0.43256129 19 30.0295 Intercept Keptitems Coefficients Standard Error Stat P-value 16722897 0.847160755 1.97399336 0.063932 0.1032392 0014396861 7.1709506 1.12E-95 Lower 95% Upper 95% lower 95.0% Upper 95 x 0.107529 3.4521084 0.107529 3.45210041 0.0729925 0.1334859 0.0729925 0.13348586 Please answer the following questions. 1. Is this model simple linear regression or multiple linear regression? Why? 2. What is the value of correlation coefficient? Interpret it. 3. How much variation in the performance of stylists can be accounted for by the number of items a customer keeps? 4. Write the regression equation based on the output. 5. What is the slope of the regression equation? Interpret it. 6. Is the regression model significant at 5%? Why or why not? HTML Editora BIA - A - IE 3 1 2 STT 12pt Parage