Global Supply Chains-Problem Set Time Series Forecasting

jackyhuang
Example_COMPLETEDEXCEL.xlsx

Data

Month Index Demand Deseas Dbar Sbar Seas Fact Forecast Error Abs Error MAD 12.26 Dbar = Level
Jan-12 1 15.1 99.5402122492 0.1517137111 0.5181481297 51.5765748052 36.5 36.4749598015 Sbar = Trend
Feb-12 2 39.2 101.6482322368 0.3853921487 0.5044556303 51.2770230628 12.1 12.1025924271
Mar-12 3 71.6 103.7562522243 0.6896797996 0.5959571455 61.8342799041 -9.7 9.7243113356
Apr-12 4 57.9 105.8642722119 0.54690594 0.6070731083 64.2673527884 6.4 6.3695534802
May-12 5 64.4 107.9722921994 0.5965292218 0.7255116042 78.3351509234 13.9 13.9265234854
Jun-12 6 66.7 110.080312187 0.6055839388 0.6322290259 69.5959685395 2.9 2.9330994969
Jul-12 7 111.7 110.9809895624 112.1883321745 0.9954335343 0.8680550209 97.3856450328 -14.3 14.2903829735
Aug-12 8 123.0 116.0816669556 114.2963521621 1.0764422856 1.077354345 123.137671619 0.1 0.1042450594
Sep-12 9 124.3 116.6701755712 116.4043721496 1.0681020965 1.1615350126 135.2077538735 10.9 10.8759999442
Oct-12 10 167.2 117.130749022 118.5123921372 1.4107096145 1.5240302184 180.6164668754 13.4 13.4298958518
Nov-12 11 173.1 120.0692131423 120.6204121247 1.4352219803 1.5779762133 190.3361411657 17.2 17.2190744097
Dec-12 12 268.7 122.8561829169 122.7284321123 2.1894615971 1.9999543192 245.4512578879 -23.3 23.2579310989
Jan-13 13 112.9 122.5509629861 124.8364520998 0.9046190175 0.5181481297 64.6837741718 -48.2 48.2456544715
Feb-13 14 63.8 122.5944123569 126.9444720874 0.5022894923 0.5044556303 64.0378536811 0.3 0.2749792485
Mar-13 15 61.1 125.8003565461 129.0524920749 0.4734070085 0.5959571455 76.9097547975 15.8 15.8154005804
Apr-13 16 79.4 130.9481161756 131.1605120625 0.6054855833 0.6070731083 79.6240197426 0.2 0.2082205918
May-13 17 113.4 136.7220170493 133.26853205 0.851016851 0.7255116042 96.6878664779 -16.7 16.725900005
Jun-13 18 84.5 140.7300335576 135.3765520376 0.624517343 0.6322290259 85.588985618 1.0 1.0439810306
Jul-13 19 86.5 140.1117667494 137.4845720252 0.6289332166 0.8680550209 119.3441730455 32.9 32.8755589227
Aug-13 20 149.3 139.4394380457 139.5925920127 1.0694236935 1.077354345 150.3906855342 1.1 1.1070601924
Sep-13 21 175.0 141.7461156654 141.7006120003 1.235169088 1.1615350126 164.5902221476 -10.4 10.4339935392
Oct-13 22 240.0 144.0668463469 143.8086319878 1.6691650359 1.5240302184 219.1687008204 -20.9 20.8716395532
Nov-13 23 238.8 145.7313236796 145.9166519754 1.6368037173 1.5779762133 230.2530059348 -8.6 8.5839124407
Dec-13 24 299.2 146.7623036939 148.0246719629 2.0211612672 1.9999543192 296.0425820359 -3.1 3.1391515301
Jan-14 25 67.6 148.897104343 150.1326919505 0.450391449 0.5181481297 77.7909735384 10.2 10.1724928694
Feb-14 26 92.9 152.4109248834 152.240711938 0.6104670185 0.5044556303 76.7986842993 -16.1 16.1392492172
Mar-14 27 87.3 155.2446228074 154.3487319256 0.5654698741 0.5959571455 91.985229691 4.7 4.7056716832
Apr-14 28 108.9 156.9021413868 156.4567519131 0.6962187977 0.6070731083 94.9806866968 -13.9 13.9474450178
May-14 29 123.8 159.6027053295 158.5647719007 0.7810618236 0.7255116042 115.0405820323 -8.8 8.8083078721
Jun-14 30 98.9 162.8709187181 160.6727918882 0.6152466783 0.6322290259 101.5820026965 2.7 2.7286011871
Jul-14 31 123.4 165.5563918309 162.7808118758 0.7580465496 0.8680550209 141.3027010582 17.9 17.9072682805
Aug-14 32 196.7 166.8469992382 164.8888318633 1.1928551948 1.077354345 177.6436994493 -19.0 19.044800209
Sep-14 33 195.6 168.0870043947 166.9968518509 1.1714477811 1.1615350126 193.9726904216 -1.7 1.6554011234
Oct-14 34 259.2 169.2064864936 169.1048718384 1.5328766558 1.5240302184 257.7209347653 -1.5 1.4959756558
Nov-14 35 284.5 169.0565291706 171.212891826 1.6615213955 1.5779762133 270.1698707038 -14.3 14.3040122497
Dec-14 36 332.0 170.2331667549 173.3209118135 1.9154174002 1.9999543192 346.6339061839 14.7 14.6520158714
Jan-15 37 99.3 174.8098883447 175.4289318011 0.5658683412 0.5181481297 90.898172905 -8.4 8.3715057262
Feb-15 38 92.3 177.7055400879 177.5369517886 0.5196738617 0.5044556303 89.5595149176 -2.7 2.7017984121
Mar-15 39 117.7 178.4368533572 179.6449717762 0.6552718998 0.5959571455 107.0607045844 -10.7 10.6555973644 SUMMARY OUTPUT
Apr-15 40 105.4 180.8860147377 181.7529917637 0.5796821121 0.6070731083 110.3373536509 5.0 4.9783955021
May-15 41 123.8 183.1709985905 183.8610117513 0.6734385204 0.7255116042 133.3932975867 9.6 9.5742098689 Regression Statistics
Jun-15 42 127.1 185.9155899485 185.9690317389 0.6835681432 0.6322290259 117.575019775 -9.5 9.5474859429 Multiple R 0.9962729611
Jul-15 43 205.0 188.0770517264 1.0898067831 0.8680550209 163.261229071 -41.7 41.7064176551 R Square 0.992559813
Aug-15 44 184.6 190.185071714 0.970696206 1.077354345 204.8967133645 20.3 20.2847858171 Adjusted R Square 0.992340984
Sep-15 45 225.3 192.2930917015 1.171421085 1.1615350126 223.3551586957 -1.9 1.9010234234 Standard Error 1.9509420005
Oct-15 46 288.4 194.4011116891 1.4833695676 1.5240302184 296.2731687103 7.9 7.9044757327 Observations 36
Nov-15 47 310.2 196.5091316766 1.5783577599 1.5779762133 310.0867354729 -0.1 0.0749773929
Dec-15 48 372.2 198.6171516642 1.8737770121 1.9999543192 397.2252303319 25.1 25.06097734 RANGE ANOVA
49 200.7251716517 0 0.5181481297 104.0053722716 73.3617830589 134.6489614844 df SS MS F Significance F
50 202.8331916393 0 0.5044556303 102.3203455359 71.6767563232 132.9639347487 Regression 1 17263.9620208674 17263.9620208674 4535.7776325609 8.94261291243951E-38
51 204.9412116268 0 0.5959571455 122.1361794778 91.4925902651 152.7797686906 Residual 34 129.4099394326 3.8061746892
52 207.0492316144 0 0.6070731083 125.6940206051 95.0504313923 156.3376098178 Total 35 17393.3719603
53 209.1572516019 0 0.7255116042 151.7460131411 121.1024239284 182.3896023539
54 211.2652715895 0 0.6322290259 133.5680368534 102.9244476407 164.2116260662 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
55 213.373291577 0 0.8680550209 185.2197570837 154.576167871 215.8633462965 Intercept 97.4321922617 0.8329455019 116.973069716 6.84565313484269E-46 95.7394433389 99.1249411844 95.7394433389 99.1249411844
56 215.4813115646 0 1.077354345 232.1497272796 201.5061380668 262.7933164923 X Variable 1 2.1080199876 0.031300325 67.3481821029 8.94261291243951E-38 2.0444100739 2.1716299012 2.0444100739 2.1716299012
57 217.5893315521 0 1.1615350126 252.7376269697 222.094037757 283.3812161825
58 219.6973515397 0 1.5240302184 334.8254026553 304.1818134425 365.4689918681
59 221.8053715272 0 1.5779762133 350.003600242 319.3600110292 380.6471894547
60 223.9133915148 0 1.9999543192 447.8165544799 417.1729652671 478.4601436926