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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, 3 = 0.316516 Lower 95% Mean Upper 95% Mean Predicted Demand Demand Demand 31 80806090242 79478783815 8213339667 StdErr Indiv Lower 95% lndiv Upper 95% Mean Demand Demand Demand 03231244931 74187185048 87424995436 3 Click here for the Excel Data File (a) Report a point estimate of and a 95 percent condence 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 = Condence interval = [ l (b) Report a point prediction of and a 95 percent prediction interval forthe 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 = Condence interval = [ ] (a) Calculate b1 and b0. (Round intermediate steps to 4 decimals places.) b1 b0 (b) Interpret the meanings of [:0 and bl. Does the interpretation of b0 make practical sense? b0 is the estimated b1 is the estimated FIG (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. :[ References Worksheet Difficulty: 3 Hard Learning Objective: 13-06 Calculate and interpret a confidence interval for a mean value and a prediction interval for an individual value.(c) Write the least squares prediction equation. (Round your answers to 4 decimal places.) (d) Use the least squares line to obtain a point estimate of the mean direct labor cost for all batches of size 60 and a point prediction of the direct labor cost for an individual ball of size 60. (Round your answer to 3 decimal places.) yhat(60) = I hundreds of dollars. References Worksheet Learning Objective: 13-01 Explain the Simple linear regression model. Difficulty: 1 Easy Learning Objective: 13-02 Find the least squares point estimates of the slope and y-intercept. 9105 (c) StdErr Indiv Demand on the JMP output equals 3V 1 + 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.|.:[ 99% P.|.:[ References Worksheet Difficulty: 3 Hard Learning Objective: 13-06 Calculate and interpret a confidence interval for a mean value and a prediction interval for an individual value. 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 = .142496404. 5 = .587952. Lower 95% Mean Upper 95% Mean Predicted Demand Demand Demand 31 8379474100 8087583307 8.671364894 StdErr Indiv Lower 95% Indiv Upper 95% Mean Demand Demand Demand 0504973371 7140241727 9618706473 '3 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 = Condence interval = [ l (b) Report a point prediction of and a 95 percent prediction interval forthe 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 = Condence interval = [ ] . o H 946A E ,0 Type here to search ' 35 F Cloudy E 4/18/20 An accountant wishes to predict direct labor cost (y) on the basis of the batch size (x) of a product produced in a job shop. Data for 12 production runs are given in the table below, along with the Excel output from fitting a least squares regression line to the data. Direct Labor Cost Data Direct Labor Batch Cost, y ($1005) Size, x 71 5 663 62 381 35 138 12 861 83 145 14 493 46 548 52 251 23 1024 100 435 41 772 75 l3 Click here for the Excel Data File Batch Size Line Fit Plot Laborcost = 18.488 + 10.146'BSize a 8 3 3