- The Following Partial Jmp Regression Output For The Fresh Detergent Data Relates To Predicting Demand For Future Sales P 1 (82.94 KiB) Viewed 103 times
The following partial JMP regression output for the Fresh detergent data relates to predicting demand for future sales p
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The following partial JMP regression output for the Fresh detergent data relates to predicting demand for future sales p
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 = 0647970, s = 0.316516 31 Predicted Demand 8.0806090242 StdErr Indiv Demand 0.3231244931 Lower 95% Mean Demand 7.9478783815 Lower 95% Indiv Demand 7.4187185048 Upper 95% Mean Demand 8.213339667 Upper 95% Mean Demand 8.7424995436 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 Cl answers to 3 decimal places and other answer to 4 decimal places.) Point estimate = Confidence interval = 1 (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 Pl 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.