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Please answer Q5-Q9 Year Sales 20X2 $450,000 20X3 $385,000 20X4 $495,000 20X5 $720,000 20X6 $680,000 20X7 $590,000 20X8 $620,000 Predict the sales for 20X9 using

Please answer Q5-Q9

Year Sales
20X2 $450,000
20X3 $385,000
20X4 $495,000
20X5 $720,000
20X6 $680,000
20X7 $590,000
20X8 $620,000
  1. Predict the sales for 20X9 using the moving average method.
    Year Sales
    20X2 $450,000
    20X3 $385,000
    20X4 $495,000
    20X5 $720,000
    20X6 $680,000
    20X7 $590,000
    20X8 $620,000
    $562,857
  2. You noticed a sudden jump in sales for 20X5. After inquiring about this jump, you were notified by your manager about a one-time sale for $250,000 in that year that is not likely to be repeated. What revision, if any, would you make in the sales information used for projection? If there was one time sale for $250,000 in 20X5 that is not likely to be repeated,
  3. If you revised your historical sales to be used to project 20X9 sales, please recalculate your projection using the moving average method.
    Year Sales
    20X2 $450,000
    20X3 $385,000
    20X4 $495,000
    20X5 $470,000 ($720,000-$250,000)
    20X6 $680,000
    20X7 $590,000
    20X8 $620,000
    $527,143
  4. Which projection (Question 1 or Question 3) do you feel is more representative of the Gregory Corporation's historical sales? Why?Projection as per Question 3 is more representative of the Gregory Corporation's historical sales because one time sale for $250,000 in 20X5 is not likely to be repeated. Ignoring such extra-ordinary items in prediction will lead better result. Please complete the remaining questions using the revised historical data.
  5. Predict the 20X9 sales using exponential smoothing.
  6. Predict the 20X9 using a trend line technique using (GROWTH function in Excel).
  7. Predict the sales for 20X9 using a graphing technique.
  8. It has been suggested that sales for the company may be connected to disposable income. Using the information below regarding historical disposable income, predict the sales for 20X9 using regression analysis if a reliable prediction for disposable income for 20X9 is $45,720.
    Year Sales
    20X2 $36,200
    20X3 $37,140
    20X4 $38,120
    20X5 $38,450
    20X6 $41,190
    20X7 $43,220
    20X8 $42,850
  9. Which method do you think provides the most realistic sales projections for 20X9? Why?

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