- Data Table Full Data Set 0 Sugar Y 11 18 Calories 180 200 210 220 220 230 240 Calories X 270 320 110 180 200 14 20 1 (45.63 KiB) Viewed 17 times
- Data Table Full Data Set 0 Sugar Y 11 18 Calories 180 200 210 220 220 230 240 Calories X 270 320 110 180 200 14 20 2 (38.38 KiB) Viewed 17 times
(a) Explain why it does not make sense to construct confidence or prediction intervals based on the least-squares regression equition Choose the correct answer below O A It does not make sense to construct confidence or prediction intervals based on the lont-squares regression equation because there is no linear relationship between sugar content and calories in high-protein and moderate protein energy bars OB It does not make sense to construct confidence or prediction intervals based on the least-squares regression equation because there is a linear relationship between sugar content and calories in high-protein and moderate protein energy bars OC It does not make sense to construct confidence of prediction intervals based on the least-squares regression equation because the residuals are not normally distributed (b) Construct a 95% confidence interval for the mean sugar content of energy bars The 95% confidence interval for the mean sugar content of energy basis lower bound upper bound (Round to one decimal place as needed)