Answer Happy

16 1 27 28 29 30 31 32 33 34 35 22868475 36 37 38 39 40 41 43 44 45 46 47 48 49 50 51 52 53 54 55 A Period 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 B Dt 230 231 229 234 245 234 254 237 245 249 246 260 x✓ fx MAD C D E F G Lt Tt St Ft At 232.30355 0.6111594 0.9803727 227.26475 2.7352473 233.05488 0.6111594 0.9883848 230.20936 0.7906384 234.43468 0.6111594 0.9619728 224.78038 4.2196206 235.51955 0.6111594 0.9842306 231.33931 2.6606919 236.43962 0.6111594 1.0298723 243.18449 1.8155148 237.57635 0.6111594 0.9747965 231.07627 2.9237338 239.44523 0.6111594 1.0351927 246.56997 7.4300252 239.43118 0.6111594 1.0021629 240.57561 3.575614 240.26381 0.6111594 1.0153073 243.71674 1.2832554 242.62577 0.6111594 0.9925606 239.08302 9.916983 243.12045 0.6111594 1.014131 246.67411 0.6741074 246.13372 0.6111594 1.009945 246.15551 13.84449 0.9803727 241.90194 0.9883848 244.48295 0.9619728 238.5377 0.9842306 244.65842 1.0298723 256.63339 0.9747965 243.50482 1.0351927 259.2245 1.0021629 251.56594 1.0153073 255.486 0.9925606 250.36877 1.014131 256.42958 1.009945 255.98836 its, choose Check for Updates. 53 1 2 3 4 5 6 7 8 9 10 11 12 H Alpha 0.1752319
m St F Ft G At 0.9803727 215.34757 11.347566 0.9883848 215.70685 2.7068548 0.9619728 210.06892 7.0689192 0.9842306 214.26358 5.263578 1.0298723 223.86392 2.136076 0.9747965 212.8421 0.8421047 1.0351927 226.50528 8.5052848 41.0021629 218.44785 13.552154 4 1.0153073 224.33945 14.660554 -4 0.9925606 222.43146 10.431455 4 1.014131 226.01749 10.982512 #4 1.009945 227.61834 10.618336 34 0.9803727 219.74641 14.253595 94 0.9883848 224.66445 6.3355523 94 0.9619728 220.32932 6.6706799 94 0.9842306 227.2247 5.7752966 94 1.0298723 239.45016 1.4501614 -94 0.9747965 227 2.007E-09 594 1.0351927 241.69708 3.3029221 594 1.0021629 235.15807 9.1580708 594 1.0153073 237.23709 15.23709 594 0.9925606 229.9185 2.0815048 594 1.014131 235.90756 9.9075574 594 1.009945 233.82208 1.8220847 594 0.9803727 227.26475 2.7352473 1594 0.9883848 230.20936 0.7906384 1594 0.5459728 224.78038 4,2196206 1594 0.9842306 231.33931 2.6606919 1594 1.0298723 243 184491915 H 300 250 200 150 100 50 Alpha Beta Gama 0.1752319 0 0 MAD 6.2772175 ===== M N 0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 10tt O
ste abe X₂ X² A T Office Update To keep up-to-date with security updates, fixes, and improvement... 2-Choose another appropriate method for adaptive forecasting, and report the MAD. Explain in detail why you chose this method. The first method that is used is holt since there is no seasonality pattern in the graph. Moreover, there were no repeated pattern and the trend is positive which means there is an improvement since its increasing. In addition, the MAD decreased which means it is good too since we minimalized it. Plus, Trendline is increasing therefore the best method is Holt since it has the least MAD. The F significance is less than 0.05 then its good and the R square is less than 0.8 and it is concerning but we go with the holt method at first but the other method that we chose is adaptive winter method and after doing the static regression we found that the F significance is <0.05 and the R square 0.85 which is >0.8 which is a little higher and it is concerning but we proceed with it as a result of that MAD decreased from 7.11 (holt's MAD) to 6.2 (winter's MAD) thus winter is the most appropriate method since it decreased the MAD. 3-Forecast the demand in year 4 following the better method (Holt or the new method). B I ✓ JALL A ¶ Check fo After forecasting year 4, the better method is the new method (winter method). Because the MAD for the new method is 6.2 comparing it holt's method the MAD is 7.11 which means it decreased which makes it better. 4- Recommendations regarding the future and sustainability of MiKa Corporation. Explain in detail your conclusions regarding the future demand.