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.) Last year This year JAN 120 140 FEB 140 150 MAR 150 155 APR 180 200 MAY 190 200 JUN 220 230 JUL 165 AUG 155 SEP 145 ОСТ 220 NOV 235 DEC 270 Forecast for the third quarter

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In January a battery dealer pridicts February demand of 2000 2 charger battery whereas the actual demand was 1756 unit of batteries , using a smoothing constant of alpha 0.34, the dealer wishes to forecast the march demand using the exponential smoothing model ?

Please do not give solution in image formate thanku. Bradley's Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that he can schedule service personnel. Use the actual demand in the first period for the forecast for the first week so error measurement begins in the second week. The manager uses exponential smoothing with α ​= 0.5 Forecast the number of calls for week​ 6, which is next week. WEEK ACTUAL SERVICE CALLS 1 28 2 32 3 40 4 27 5 30

Using linear regression analysis, what would you estimate demand to be for each month next year? Month Forecast January February March April May June July August September October November December

*** Can you please demonstrate how to do parts d, e, f? Given: Year     Demand 1             7 2             9 3             5 4             9 5 Predict the value for Year 5: 2 year moving average What is MSE for 2 year moving average? 2 year moving average using 0.6 (weight for the oldest period) and 0.4(weight for most recent period Exponential smoothing, =0.2 and forecast for Year 1 = 5 Linear trend Which forecast method has the least amount of error using MAD? What is the coefficient?

Bradley's Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that he can schedule service personnel. Use the actual demand in the first period for the forecast for the first week so error measurement begins in the second week. The manager uses exponential smoothing with a = 0.4. Forecast the number of calls for week 6, which is next week. Week Actual Service Calls 26 2 34 38 4 27 5 35 The forecast for week 6 is service calls. (Enter your response rounded to two decimal places.)

Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.