\fon analysis of this data, with score as the predictor variable and amount as the response are given below. SUMMARY OUTPUT Regression Statistics Multiple R 0.161641 R Square 0.026128 Adjusted R Square 0.021209 Standard Error 29.3228 Observations 200 ANOVA df SS MS F Significance F Regression 4567.49 4567.49 5.312105 0.022215 Residual 198 170245.7 859.8268 Total 199 174813.2 Standard Coefficients Error t Stat P-value Lower 95% Upper 95%% Intercept 16.40905 10.67363 1.537345 0.125805 -4.63954 37.45764 score 0.246269 0.106851 2.3048 0.022215 0.035558 0.45698 (b) Type the predicted regression equation. 4 marks (c) Use the predicted regression equation to predict amount if score is 120. 4 marks (d) Using the confidence interval, is the slope of the regression line statistically significantly different from zero? 4 marks (e) What does the R square value tell you about the regression? 4 marks (f) What else should you check about this regression? 4 marks