Question: Linear Regression Exercises Saved - The following partial JMP regression output for the Fresh detergent data relates to predicting demand for future sales periods in

 Linear Regression Exercises Saved - The following partial JMP regression outputfor the Fresh detergent data relates to predicting demand for future sales

periods in which the price difference will be .10. SE Fit =.166503371, s = .738033. 2 Lower 95% Mean Upper 95% Mean points

Linear Regression Exercises Saved - The following partial JMP regression output for the Fresh detergent data relates to predicting demand for future sales periods in which the price difference will be .10. SE Fit = .166503371, s = .738033. 2 Lower 95% Mean Upper 95% Mean points Predicted Demand Demand Demand 31 8. 338104779 7.997038171 8. 679171386 StdErr Indiv Lower 95% Indiv Upper 95% Mean Demand Demand Demand eBook 0. 756581841 6. 788317524 9. 887892033 Hint References Click here for the Excel Data File (a) Report a point estimate of and a 95 percent confidence interval for the mean demand for Fresh in all sales periods when the price difference is .10. (Round your CI answers to 3 decimal places and other answer to 4 decimal places.) Point estimate = Confidence interval = [ (b) Report a point prediction of and a 95 percent prediction interval for the actual demand for Fresh in an individual sales period when the price difference is 10. (Round your PI answers to 3 decimal places and other answer to 4 decimal places.) Point estimate = Confidence interval = [(c) StdErr Indiv Demand on the JMP output equals sv1 + distance value . Using this information, find 99 percent confidence and prediction intervals for mean and individual demands when x = 10. (Round your answers to 4 decimal places.) 99% C.I.:[ 99% P.I.:[

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