The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of Pints Used August 31 September 7 September 14 September 21 September 28 October 5 345 372 408 383 368 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 376.33 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.15, 0.25, and 0.60, using 0.60 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order- the largest weight applies to most recent period and smallest weight applies to oldest period.)

The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of Pints Used August 31 September 7 September 14 September 21 September 28 October 5 345 372 408 383 368 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 376.33 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.15, 0.25, and 0.60, using 0.60 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order- the largest weight applies to most recent period and smallest weight applies to oldest period.)

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter13: Regression And Forecasting Models

Section13.4: Multiple Regression Models

Problem 17P: The owner of a restaurant in Bloomington, Indiana, has recorded sales data for the past 19 years. He...

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The owner of a restaurant in Bloomington, Indiana, has recorded sales data for the past 19 years. He has also recorded data on potentially relevant variables. The data are listed in the file P13_17.xlsx. a. Estimate a simple regression equation involving annual sales (the dependent variable) and the size of the population residing within 10 miles of the restaurant (the explanatory variable). Interpret R-square for this regression. b. Add another explanatory variableannual advertising expendituresto the regression equation in part a. Estimate and interpret this expanded equation. How does the R-square value for this multiple regression equation compare to that of the simple regression equation estimated in part a? Explain any difference between the two R-square values. How can you use the adjusted R-squares for a comparison of the two equations? c. Add one more explanatory variable to the multiple regression equation estimated in part b. In particular, estimate and interpret the coefficients of a multiple regression equation that includes the previous years advertising expenditure. How does the inclusion of this third explanatory variable affect the R-square, compared to the corresponding values for the equation of part b? Explain any changes in this value. What does the adjusted R-square for the new equation tell you?
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 345 389 412 383 366 371 a) The forecasted demand for the week of October 12 using a 3-week moving average decimal places). pints (round your response to two
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 350 370 410 381 371 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 376.67 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.20, 0.35, and 0.45, using 0.45 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.)
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 360 389 412 378 366 371 a) The forecasted demand for the week of October 12 using a 3-week moving average: to two decimal places). = pints (round your response
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: a) The forecasted demand for the week of October 12 using a 3-week moving average = Week Of August 31 September 7 September 14 September 21 September 28 October 5 pints (round your response to two decimal places). Pints Used 345 389 408 381 371 374
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 350 370 410 383 368 374 a) The forecasted demand for the week of October 12 using a 3-week moving average=pints (round your response to two decimal places).
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of Pints Used August 31 360 September 7 389 September 14 412 September 21 383 September 28 366 October 5 374 a) The forecasted demand for the week of October 12 using a 3-week moving average LOADING... = 374.33374.33 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.15, 0.35, and 0.50, using 0.50 for the most recent week, the forecasted demand for the week of October 12 = 372.55372.55 pints (round your response to two decimal places and remember to use the weights in appropriate order — the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 360 and α = 0.20, using exponential smoothing,…
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of Pints Used August 31 September 7 September 14 September 21 September 28 345 370 410 378 368 October 5 371 a) The forecasted demand for the week of October 12 using a 3-week moving average = 372.33 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.15, 0.30, and 0.55, using 0.55 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order – the largest weight applies to most recent period and smallest weight applies to oldest period.)
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 350 370 412 378 371 378 a) The forecasted demand for the week of October 12 using a 3-week moving average: response to two decimal places). 106 pints (round your
K The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: a) The forecasted demand for the week of October 12 using a 3-week moving average Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 350 389 408 378 366 371 pints (round your response to two decimal places).
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of Pints Used August 31 September 7 September 14 September 21 September 28 345 372 408 383 368 October 5 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 376.33 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.15, 0.25, and 0.60, using 0.60 for the most recent week, the forecasted demand for the week of October 12 = 376.25 pints (round your response to two decimal places and remember to use the weights in propriate order– the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 345 and a = 0.25, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places).…
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of Pints Used August 31 September 7 September 14 September 21 September 28 345 370 410 378 368 October 5 371 a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places).