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Consider the demand for Fresh Detergent in a future sales period when Enterprise Industries' price for Fresh will be x1 = 3.70, the average price of competitors' similar detergents will be x2 = 3.90, and Enterprise Industries' advertising expenditure for Fresh will be X3 = 6.50. A 95 percent prediction interval for this demand is given on the following JMP output: Predicted Lower 95% Upper 95% StdErr Lower 95% Upper 95% Demand Mean Demand Mean Demand Indiv Demand Indiv Demand Indiv Demand 31 8.4106503477 8.3143172822 8.5069834132 0.2393033103 7.9137553487 8.9025453468 Click here for the Excel Data File (a) Find and report the 95 percent prediction interval on the output. If Enterprise Industries plans to have in inventory the number of bottles implied by the upper limit of this interval, it can be very confident that it will have enough bottles to meet demand for Fresh in the future sales period. How many bottles is this? If we multiply the number of bottles implied by the lower limit of the prediction interval by the price of Fresh ($3.70), we can be very condent that the resulting dollar amount will be the minimal revenue from Fresh in the future sales period. What is this dollar amount? (Round 95% Pl to 4 decimal places, Lower dollar amount and Level of inventory needed to the nearest whole number.) 95% Pl[ 7.9188 I 8.9025 ] Level of inventory needed = 890,255 bottles Lower dollar amount = $ 2,929,939 (b) Calculate a 99 percent prediction interval for the demand for Fresh in the future sales period. Use the fact that StdErr Indiv Demand equals s(1 + distance value)'5. (Round your answers to 4 decimal places.) __I__