Using the sample data from the accompanying table, complete parts (a) and (b). C
ID: 3317546 • Letter: U
Question
Using the sample data from the accompanying table, complete parts (a) and (b). Click the icon to view the data table. (a) Explain why it does not make sense to construct confidence or prediction intervals based on the leastsquares regression equation. Choose the correct answer below 0 A. It does not make sense 10 construct confidence or prediction intervals based on the least-squares regression equation because the residuals are not normally distributed. O B does not make sense o construct confidence or prediction intervals based on the least s ares re ession equation because there is a linear relationship between sugar content and calories i high protein and moderate protein energy bars. C. It does not make sense to construct confidence or prediction intervals based on the least-squares regression equation because there is no inear relationship between sugar content and calories in high-protein and moderate protein energy bars. (b) Construct 95% confidence interval for the mean sugar content of energy bars. content of energy bars is Data Table The 95% confidence interval for the mean sugar lower bound:upper bound: (Round to one decimal place as needed.) Full data set Calories, x Sugar, y Calories, x 270 320 110 180 200 220 230 Sugar,y 20 180 10 210 14 20 10 12 230 240 24 It can be shown that there is no inear relationship between sugar content and calories in high-protein and moderate protein energy bars. Print DoneExplanation / Answer
The statistical software output for this problem is:
One sample T confidence interval:
: Mean of variable
95% confidence interval results:
Hence,
b) 95% confidence interval:
Lower bound = 9.5
Upper bound = 19.9
Variable Sample Mean Std. Err. DF L. Limit U. Limit y 14.714286 2.4143085 13 9.4984894 19.930082Related Questions
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