Regression Statistics Multiple R 0.8012 R Square 0.6420 Adjusted R Square 0.6292 Standard Error 49.7616 Observations 30.0000 ANOVA Significance 55 MS F Regression 124332.64 124332.64 50.21 1.04E-07 Residual 28 69334.02 2476.22 Total 29 193666.67 Standard P- Lower Upper Coefficients Error t Stat value 95% 95% Intercept 576.682 23.47 24.57 0 528.60 624.76 X Variable 1 -3.007 0.42 -7.09 1x107 -3.88 -2.14 700 Scatter Diagram 600 500 300 Series1 200 100 20 40 60 80 100 Driver's Age a) Which of the two variables being studied should be the explanatory variable and which should be the response variable? b)Determine the least-squares regression equation. c)Interpret the slope term of the regression line in context of the problem. d)Predict the value of the response variable when the value of the explanatory variable is 75. e)Interpret the coefficient of determination in context of the problem in a sentence f)Find the correlation coefficient,r. g)Determine if there is a significant linear relationship between the variables in the regression model. Use a a=0.01 significance level