Data is collected from pre diabetic individuals about their fasting blood glucose levels and the number of hours they spent per week for exercise.

Based on the output below what is the model R2 value? Interpret the value of R2 in the context of this problem. . Write down the regression equation that predicts fasting blood glucose based on the number of hours of exercise per week. Interpret the slope. . If the number of hours of exercise per week is 11, what would be the predicted fasting blood glucose based on the model? . If the actual fasting blood glucose value for 11 hours of exercise per week is 118.5, what is the prediction error or residual for this model? Model Summary(b) Adjusted Std. Error of Model R R Square R Square the Estimate .874 .764 611 2.14125 a Predictors; (Constant), Exercise hours b Dependent Variable: Fasting blood glucose level Coefficients(a) Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta Sig. (Constant) 130.551 22.780 9.402 000 Exercise hours -2.062 .142 -.789 -7.478 .000 DELL