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

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The Following Partial Jmp Regression Output For The Fresh Detergent Data Relates To Predicting Demand For Future Sales P 1
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 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. :D
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