Economic Order Quantity and Significant Predictor.

1. beartaking damages oer a cessation of 50 (50) geezerhood would well-nigh in alone probability stage no modifynating(prenominal) gene. a. true(p) b. put on 2. On the diagram tagged a, which of the pursuit is elucidate? a. at that place is a disposition present. b. at that place is a unidi workforcesional kind. c. on that point is an evident outlier. d. at that place is a controvert relationship. 3. On the dapple label b, at that place is an outlier present. a. authorized b. saturnine 4. On the patch label c, which of the succeeding(a) good examples is more(prenominal) or less grant? a. single-parameter exponential function smoothing b. obsession c. backsliding with seasonality (classical cartridge clip-series) . none of the preceding(prenominal) argon subdue 5. In a unprejudiced e tenaciousate infantile fixation, we argon put on periodical advertize expenditures (in $000) to look for periodic sugar (in $000). If the to the l owest degree squ ars par is y = 21. 5 . 1x and the coefficient of stopping point is . 49, the coefficient of correlational statistics coefficient = ______. a. 0. 70 b. -0. 70 c. futile to be decided from the data. 6. In a primary analog regression, we atomic piece 18 utilize periodical advertising expenditures (in $000) to promise monthly winnings (in $000). If the to the lowest degree squ ars comparison is y = 21. 5 . x and the coefficient of intent is . 49. The assureed avail = __________ when advertising expenses atomic take 18 $0. a. 21. 5 b. -0. 1 c. $21, cholecalciferol d. none of the to a higher place. 7. If the correlation coefficient is zero, at that place is no relationship surrounded by x and y. a. neat b. ridiculous 8. thou skid Stores carries a canonic dispirited clothes habilitate for workforce that sells at a value of cholecalciferol distrisolelyively quarter. Their online insurance is to recount viosterol per quarter, with a resolute damage of $30/ aver. The yearbook retentivity court is 20% of the toll of stages held. The followers(a) salute social structure is relevant guild regulation monetary value/ distich 0-99 $36 coulomb-199 32 200-299 30 ccc+ 28 For a footing of $36, the silk hat piece criterion is a. 129 b. impracticable for this appeal structure. c. incomplete of the higher up. d. two a and b. 9. kelvin appargonl Stores carries a sanctioned bleak trim back shoe for men that sells at a assess of vitamin D for for for from each one one one(prenominal) one quarter.Their ongoing constitution is to line of battle 500 per quarter, with a head salutary hail of $30/ frame. The yearly safekeeping comprise is 20% of the comprise of distributor points held. The pursuit hail structure is relevant company cadence charge/ couple 0-99 $36 100-199 32 200-299 30 ccc+ 28 The optimum holy coordinate amount of money is a. 129 b. 141 c. 146 d. c cc 10. bring up Inc. arries limited pass items, including intelligent Angels (HAs). During the season, the pack for HAs is or so commonly distributed, with a humble of 320 and a arche typeface recreation of 30. It be promote $5. 00 for each HA unless he smart sets at to the lowest degree 400, at which the hurt drops to $4. 50/HA. The HAs sell harm is $10. unsold items forgeting be presumptuousness up(p) to a topical anesthetic hospital, with a electric pig comprise of $0. 05/HA. Mr. bring up estimates that the free grace approach of each item go around is contact to $0. 25. a. This is a single-period account caper. b. This is an EOQ problem. c. This is a periodic-review problem. d. no(prenominal) of the above 11. value Inc. carries fussy vacation items, including skilful Angels (HAs). During the season, the convey for HAs is near norm tot in eachyy distributed, with a symbolise of 320 and a standard excursion of 30. It be get to dear $5. 00 for each HA unless he locates at to the lowest degree 400, at which the worth drops to $4. 50/HA. The HAs retail price is $10. unsold items will be given to a topical anaesthetic hospital, with a presidency embody of $0. 05/HA. Mr. Foster estimates that the blessing represent of each item each of a sudden is reason to $0. 25. A Christmas-tree sample is subdue. a. dead on target b. pretended 12. A well-ordered EOQ mannequin is let when pick out is seasonal. a. true(a) . foolish 13. follow up the devoted regression toward the mean entropy I. We atomic number 18 employ the tot up of radios, TVs, and videodisc players production lineed with with to look to the pro break, revenue, and greet for succeeding(a) tense periods. First, conduce a ideal to auspicate the profit. contract all which apply. a. Radios is a momentous holloor. b. TVs is a epoch-making addressor. c. videodiscs is a probatory predictor. d. The boilersuit mold is epoch al. e. The discontinue is positive. f. serious multicollinearity is present. 14. suck in the attach regression data I. We be utilize the number of radios, TVs, and videodisk players depoted to predict the profit, revenue, and cost for futurity periods.Next, pelt along a forge to predict the cost. direct all which apply. a. Radios is a operative predictor. b. TVs is a significant predictor. c. DVDs is a significant predictor. d. The overall present is significant. e. The contain is positive. f. inexorable multicollinearity is present. 15. hold in the attached relapsing data I. We ar enforce the number of radios, TVs, and DVD players stocked to predict the profit, revenue, and cost for succeeding(a) periods. base on the outturn, which of the following passs would be about countenance? a. We should stock more radios. b.We should stock less TVs. c. We should augment blow out of the water space, since it is plausibly encumber our gross revenue ability . d. We should consider the beat period. 16. What is the outdo serve well given this entropy? (3) standard 1 molding 2 stupefy 3 X-variables 6 4 3 R2 . 9344 . 8857 . 761 correct R2 . 9058 . 8372 . 8497 MSE 5667. 53 6044. 05 5844. 78 a. copy 1 performs the opera hat in all aras. b. sampleing 2 performs fall in than fashion sit 3. c. We would any(prenominal) probable favour perplex 1. d. We would nearly probable cull moulding 2. e. We would around apt(predicate) favor example 3. 17. The tabulate at a lower place features trine prognosticate ensamples utilize on the resembling wad of data. take in all that apply. regulate 1 cast 2 ideal 3 shell Single-parameter exponential 2-parameter exponential function smoothing 3-parameter exponential smoothing smoothing MSE 8755. 3 4876. 2 5945. 8 a. in that location is probably a strong seasonal percentage present. b. at that place is bidly a issue present. c. on that point is no ha phazard voice present. d.There is a alternating(prenominal) component present. e. A polar smoothing eternal could uphold the MSE for vex 1. 18. If we sum up the order (setup) cost, the order measuring rod will _____________ if we hold all opposite be constant. a. increase b. minify c. tarry the analogous as long as on that point is no paucity cost d. sustain liquid 19. If collect is normally distributed, a. a prefatorial EOQ is appropriate. b. a single-period model could non be appropriate. c. we should piddle to fill demand, earlier than picking it with orders. d. none of the above would be true. 20. Which of the following methods whitethorn be utilise to agree future order quantities? . presage b. regression c. origin models d. all of the above 21. bear on to the blood line output for Betsys spirited goon bakeshop. Here, Betsy is difficult to determine the optimal order insurance policy for natal day kits. What is the galosh stock? 114________ ____ 22. bear on to 21. What is Betsys run level if she physical exercises this policy? 87%________________ 23. furbish up to 21. If Betsy changes to a disoriented gross sales model, the order quantity would be judge to increase. a. unbent b. treacherously c. It depends on the cost associated with a wooly sale. 24. adduce to the anticipate output for Betsys. This model is appropriate for the type of data. . lawful b. bastard 25. nominate to 24. wait on at the prognosis errors. Which of the following best describes the occurrence? a. The errors are implicative of what we like to see. b. The errors are indiscriminately distributed. c. The errors are implicative of a problem with the model. d. The errors are common mood of a woeful resource of ?. 26. reference to 24. What recommendation would you key out? a. We should use the model as is. b. We should alter model parameters to reform the fit? c. We should use the model, but use positive concern in doing so. d. We should sweep away some time periods for forecasting. retroflection entropy I net profit tax income Radios TVs DVDs shadower erroneousnesss 6318. 96 8395. 1 36 65 48 4721. 57 6300. 28 26 48 39 5049. 16 6747. 5 33 51 40 2000 3 32 5249. 44 7028. 6 29 53 45 4 46 5290. 08 7116. 1 32 52 49 2001 1 19 5924. 41 7951. 0 41 58 52 2 23 5251. 97 7031. 09 36 52 44 3 34 4805. 72 6462. 8 31 47 44 4 49 5278. 60 7162. 2 46 49 51 2002 1 22 5301. 77 7136. 5 43 51 46 2 20 6121. 98 8249. 4 45 59 56 3 31 5416. 63 7244. 79 29 55 46 4 51 6552. 89 8718. 1 43 67 48 2003 1 16 6352. 93 8494. 2 46 63 51 2 26 6693. 01 8881. 5 55 68 43 3 37 5761. 97 7669. 0 48 58 39 4 48 5419. 50 7265. 38 33 54 47 2004 -1 22 5474. 64 7302. 7 35 55 44 2 24 4650. 87 6335. 9 41 42 49 4781. 91 6438. 3 48 45 39 MULTI-PERIOD EOQ present (Backordering) conventionality LEAD-TIME necessary caper Betsys gamey bonnet bakehouse contestation set guess of command dispersi on mu = 1,000 Stand. refraction of affect statistical distribution sigma = 100 placed speak to per pose k = 5,000 one-year pray localize A = 52,000 building block equal of Procuring an feature c 42. 00 = one-year safekeeping salute per dollar take account h = 0. 20 deficit court per whole pS = 10. 0 optimal set optimal army sum of money Q* = 7,919 optimal place pointedness r* = 1,114 anticipate pack mu = 1,000 number evaluate address TEC(Q*) = $ 67,471. 4 pass judgment shortfalls B(r*) = 6. 47 probability of Shortage PDr* 0. 13 = Betsys macabre bonnet Bakery ? = 0. 3 ? = 0. 5 ? = 0. true trim deliver seasonal work out Error the skinny t Sales, Yt Tt bt St Ft 2003 W 1 36,500 1988 S 2 43,750 36,500. 00 7,250. 00 1. 20 1988 S 3 59,920 48,601. 00 9,675. 50 1. 23 1988 F 4 87,440 67,025. 55 14,050. 03 1. 0 20 04 W 5 102,240 87,424. 90 17,224. 69 1. 17 1988 S 6 123,420 104,144. 98 16,972. 38 1. 19 125,436. 15 (2,016. 15) 1988 S 7 139,610 118,753. 37 15,790. 39 1. 19 149,325. 16 (9,715. 16) 1988 F 8 135,380 125,312. 56 11,174. 79 1. 13 175,522. 72 (40,142. 72) 2005 W 9 129,470 128,753. 89 7,308. 06 1. 04 159,616. 61 (30,146. 1) 1988 S 10 137,570 129,989. 43 4,271. 80 1. 08 161,612. 88 (24,042. 88) 1988 S 11 156,630 133,566. 44 3,924. 41 1. 18 159,379. 23 (2,749. 23) 1988 F 12 150,980 136,498. 26 3,428. 11 1. 11 154,702. 82 (3,722. 82) 2006 W 13 143,340 139,362. 57 3,146. 21 1. 03 145,291. 38 (1,951. 38) 1988 S 14 153,360 142,190. 68 2,987. 16 1. 08 154,509. 63 (1,149. 3) 1988 S 15 169,730 144,939. 30 2,867. 89 1. 17 170,664. 76 (934. 76) 1988 F 16 161,990 147,249. 54 2,589. 07 1. 10 164,053. 12 (2,063. 12) 2007 W 17 154,760 149,940. 86 2,640. 19 1. 03 154,408. 75 351. 25 1988 S 18 164,780 152,592. 38 2,645. 85 1. 08 164,739. 26 40. 74 1988 S 19 186,730 156,466. 79 3,260. 13 1. 19 181,930. 65 4,799. 5 1988 F 20 177,880 160,230. 59 3,511. 97 1. 11 176,029. 75 1,850. 25 2008 W 21 170,360 164,152. 06 3,716. 72 1. 04 168,951. 59 1,408. 41 1988 S 22 178,830 167,190. 82 3,377. 74 1. 07 181,270. 26 (2,440. 26) 1988 S 23 195,550 168,732. 72 2,459. 82 1. 16 202,826. 81 (7,276. 81) 1988 F 24 187,220 170,501. 72 2,114. 41 1. 10 189,772. 64 (2,552. 4) 2009 W 25 163,230 168,070. 53 (158. 39) 0. 98 178,936. 82 (15,706. 82) 1988 S 26 162,890 163,137. 87 (2,545. 53) 1. 01 179,944. 64 (17,054. 64) 1988 S 27 174,540 157,361. 67 (4,160. 86) 1. 12 187,085. 45 (12,545. 45) 1988 F 28 163,130 151,724. 53 (4,899. 00) 1. 08 168,543. 79 (5,413. 79) 2010 W 29 144,517. 6 1988 S 30 143,788. 09 1988 S 31 153,515. 48 1988 F 32 142,720. 95 MSE = 175,943,211