Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note that the 1st quarter is January, February, and March; 2nd quarter April, May, June; 3rd quarter July, August, September; and 4th quarter October, November, December. Note: Round final answer to a whole number. Last year This year JANUARY 110 135 Forecast for the third quarter FEBRUARY 130 145 MARCH 140 190 APRIL 180 205 MAY 190 235 JUNE 210 270 JULY 155 AUGUST 145 SEPTEMBER 135
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- Under what conditions might a firm use multiple forecasting methods?Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note: the 1st quarter is Jan, Feb, and Mar; 2nd quarter id Apr. May, Jun; 3rd quarter Jul, Aug, Sep; 4th quarter Oct, Nov, Dec. JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC LAST YEAR 145 165 170 210 220 245 190 180 175 245 270 295 THIS YEAR 145 170 180 235 275 225 What is the forecast for the third quarter?Given the following history, use a three-quarter moving average to forecast the demandfor the third quarter of this year. Note that the 1st quarter is Jan, Feb, and Mar; 2ndquarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DECLast year 120 140 145 195 205 220 165 155 145 220 245 265This year 140 145 200 210 240 255
- Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note that the 1st quarter is Jan, Feb, and Mar; 2nd quarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, Dec. (Round final answer to a whole number.) JUN FEB 140 150 APR 180 200 MAY 190 200 ОСТ 220 DEC 270 JUL SEP NOV 235 JAN MAR AUG 155 Last year This year 120 140 150 220 165 145 155 230 Forecast for the third quarterGiven the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note that the 1st quarter is Jan, Feb, and Mar; 2nd quarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, Dec. (Round final answer to a whole number.) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Last year 165 185 200 230 240 265 210 200 195 265 290 315 This year 175 200 165 260 260 200 Forecast for the third quarterGiven the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note that the 1st quarter is January, February, and March; 2nd quarter April, May, June; 3rd quarter July, August, September; and 4th quarter October, November, December.
- Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note, the 1st quarter is Jan, Feb, and Mar, 2nd quarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep, and 4th quarter Oct, Nov, Dec. JAN FEB MAR APR MAY Last year This year 130 150 155 215 225 155 155 205 220 245 JUN JUL 230 175 250 AUG SEP 165 155 OCT NOV DEC 230 255 280 Forecast for the third quarterSuppose a firm has had the following historic sales figures. Year: 2016 2017 2018 2019 Sales $3,400,000 $4,650,000 $3,300,000 $2,900,000 What would be the forecast for next year's sales using the naïve approach? Answer is complete but not entirely correct. Next year's sales $ 3,550,000 2020 $3,500,000Compute the one-step-ahead three-month and six-month moving-average forecastsfor July through December. What effect does increasing N from 3 to 6 have on theforecasts?
- True Beauty is a cosmetics company that uses exponentialsmoothing with trend to forecast monthly sales of its specialface cream. At the end of November, the company wants toforecast sales for December. The trend through October hasbeen 10 additional boxes sold per month. Average sales havebeen 60 boxes per month. The demand for November was 68boxes. The company uses a 0.20 and b 0.10. Make a forecast including trend for the month of December.A manager uses a trend equation plus quarterly relatives to predict demand. Quarter relatives areSR1 = .90, SR2 = .95, SR3 = 1.05, and SR4 = 1.10. The trend equation is: Ft= 10 + 5t. Over thepast nine quarters, demand has been as follows:Period, t 1 2 3 4 5 6 7 8 9Demand 14 20 24 31 31 37 43 48 52Is the forecast performing adequately? Explain.b. Kim’s department at a local department store has tracked the sales of a product over thelast nine weeks. The demand can be seen in the table below.Period Demand1 242 233 264 365 266 307 328 269 25i. Forecast demand using exponential smoothing with an alpha of 0.3, and an initialforecast of 30.0 for period 2 to 9.ii. Use a 5-period moving average, forecast the demand up to period 9.iii. Using MAD, determine which forecasting technique is better.