Data collected on the monthly demand for a certain product in thousands of dollars are shown in the following table. (attached) a) Using a weighted moving average with three periods, determine the...


Data collected on the monthly demand for a certain product in thousands of dollars are shown in the following table. (attached)


a) Using a weighted moving average with three periods, determine the demand for period 13. Use 3, 2, and 1 for the weights of the most recent, second most recent, and third most recent periods, respectively
b) Find the MAD, MSE and MAPE




b) Use exponential smoothing with a smoothing constant of 0.30 to forecast the sales.
Assume that the last period’s forecast for month 1 is equal to actual to begin the procedure. Which method do you think is best? Is this an improvement over the weighted average- use MAD only
c) Use regression analysis to estimate the line of best fit -use the manual method with the formulas shown below.


y=a+bx<br>where:<br>nE xy – ExEy<br>b =<br>nE x² – (Ex)*<br>a = ỹ – bx<br>

Extracted text: y=a+bx where: nE xy – ExEy b = nE x² – (Ex)* a = ỹ – bx
Month<br>Demand<br>1<br>145.5<br>2<br>160<br>3<br>71<br>4<br>99<br>5<br>194.5<br>6.<br>206<br>7<br>135.5<br>8<br>152.5<br>9.<br>246<br>10<br>259<br>11<br>181.5<br>12<br>194<br>

Extracted text: Month Demand 1 145.5 2 160 3 71 4 99 5 194.5 6. 206 7 135.5 8 152.5 9. 246 10 259 11 181.5 12 194

Jun 11, 2022
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