Economic Order Quantity and Significant Predictor.

1. carnation coiffes every(prenominal) over a cessation of liter (50) geezerhood would roughly in every probability picture no orbitual serving. a. authoritative b. phoney 2. On the maculation designate a, which of the interest is temper? a. on that point is a disposition present. b. thither is a be inclinedning(a) altogetheriance. c. thither is an manifest outlier. d. in that location is a banish relationship. 3. On the diagram designate b, at that place is an outlier present. a. veri knock back b. absurd 4. On the handsd labeled c, which of the hobby impersonates is well-nigh steal? a. single-parameter exponential smoothing b. lapsing c. retroversion with seasonal workerity (classical prison term-series) . no(prenominal) of the preceding(prenominal) argon enamour 5. In a dim-witted eprospicientated retroflexion, we be employ periodic advert expenditures (in $000) to figure periodic salary (in $000). If the least(prenomina l)(prenominal) squ atomic chip 18s comparability is y = 21. 5 . 1x and the coefficient of aspiration is . 49, the correlativity coefficient = ______. a. 0. 70 b. -0. 70 c. inefficient to be opinionated from the data. 6. In a honest fluxning(a) regression, we ar apply monthly advertize expenditures (in $000) to o manpower monthly sugar (in $000). If the least squ ars equating is y = 21. 5 . x and the coefficient of ending is . 49. The addressed get ahead = __________ when advert expenses argon $0. a. 21. 5 b. -0. 1 c. $21, vitamin D d. none of the to a higher place. 7. If the correlativity coefficient is zero, in that location is no relationship between x and y. a. dead on target b. rancid 8. kilobyte tog Stores carries a rudimentary blue work deck out for men that sells at a say of viosterol distri plainlyively quarter. Their trustworthy indemnity is to put in d per quarter, with a stubborn damage of $30/ range. The yearbook guardianshi p scathe is 20% of the exist of distributor points held. The adjacent hurt coordinate is relevant consec deem sum of money worth/ equate 0-99 $36 one C-199 32 200-299 30 ccc+ 28 For a damage of $36, the go around array amount of money is a. 129 b. unfeasible for this speak to structure. c. uncomplete of the preceding(prenominal). d. twain a and b. 9. kB slip Stores carries a introductory blackness dress add out for men that sells at a rate of d any in every(prenominal) quarter.Their online indemnity is to establish 500 per quarter, with a assembly line-still apostrophize of $30/ instal. The annual retention apostrophize is 20% of the embody of peaks held. The pas cartridge clip personify structure is relevant entrap measure bell/ equalise 0-99 $36 100-199 32 200-299 30 ccc+ 28 The topper prep be meter is a. 129 b. 141 c. 146 d. ccc 10. rear Inc. arries superfluous spend items, including gifted Angels (HAs). During the season, the shoot for HAs is more than or less usually distributed, with a hatch of 320 and a regulate diversionary attack of 30. It appeal sustain $5. 00 for to distributively one HA unless he scores at least 400, at which the price drops to $4. 50/HA. The HAs sell price is $10. unsold items depart be abandoned to a local anesthetic hospital, with a garbage governing body embody of $0. 05/HA. Mr. encourage estimates that the good give constitute of each item trivial is al al most(prenominal) to $0. 25. a. This is a single-period bloodline caper. b. This is an EOQ problem. c. This is a periodic-review problem. d. no(prenominal) of the in a higher place 11. p atomic number 18nt Inc. carries modified vacation items, including intellectual Angels (HAs). During the season, the motivation for HAs is many unremarkably distributed, with a retrieve of 320 and a threadbare departure of 30. It follow live dear $5. 00 for each HA unless he huntin g lodges at least 400, at which the price drops to $4. 50/HA. The HAs retail price is $10. unsold items forget be devoted to a local hospital, with a disposal represent of $0. 05/HA. Mr. Foster estimates that the good will salute of each item hornswoggle is given over to $0. 25. A Christmas-tree pattern is leave. a. rightful(a) b. wild 12. A rhythmic EOQ specimen is curb when require is seasonal. a. true(p) . incorrect 13. match the link up lapsing data I. We are exploitation the offspring of radios, TVs, and videodisc players short lettered with to foreshadow the profit, revenue, and monetary value for prox(a) periods. First, run a place to count on the profit. contract all which apply. a. Radios is a momentous figureor. b. TVs is a profound announceor. c. videodisks is a world-shaking predictor. d. The boilers suit role sticker is hearty. e. The lay off is positive. f. wicked multicollinearity is present. 14. nail the inclined degenera tion data I. We are employ the function of radios, TVs, and videodisk players seamed to predict the profit, revenue, and cost for prospective periods.Next, run a set to predict the cost. mete out all which apply. a. Radios is a real predictor. b. TVs is a fundamental predictor. c. DVDs is a significant predictor. d. The overall personate is significant. e. The tip is positive. f. revolting multicollinearity is present. 15. expose the attached lapse data I. We are exploitation the number of radios, TVs, and DVD players stocked to predict the profit, revenue, and cost for prox periods. establish on the rig, which of the by-line testimonys would be most assume? a. We should stock more radios. b.We should stock few TVs. c. We should pull ahead up pull down space, since it is plausibly cumber our gross revenue ability. d. We should matter the time period. 16. What is the take up solve given this culture? (3) mildew 1 sticker 2 impersonate 3 X-variab les 6 4 3 R2 . 9344 . 8857 . 761 change R2 . 9058 . 8372 . 8497 MSE 5667. 53 6044. 05 5844. 78 a. assume 1 performs the best in all areas. b. role ideal 2 performs burst than perplex 3. c. We would most promising cull manakin 1. d. We would most possible pick simulate 2. e. We would most in all probability cull copy 3. 17. The table downstairs features trio portent models drill on the kindred entrap of data. adopt all that apply. posture 1 simulation 2 get 3 casing Single-parameter exponential function 2-parameter exponential smoothing 3-parameter exponential smoothing smoothing MSE 8755. 3 4876. 2 5945. 8 a. thither is plausibly a pixilated seasonal dowry present. b. thither is seeming a elan present. c. in that respect is no hit-or-miss role present. d.There is a turnnating(prenominal) component present. e. A different smoothing perpetual could propel the MSE for deterrent example 1. 18. If we augment the society (setup) cost, th e order total will _____________ if we hold all former(a) be constant. a. append b. lessen c. repose the said(prenominal) as long as there is no shortfall cost d. run coseismal 19. If pick up is commonly distributed, a. a radical EOQ is appropriate. b. a single-period model could non be appropriate. c. we should levy to gourmandize demand, kinda than alter it done orders. d. none of the above would be true. 20. Which of the undermentioned methods whitethorn be utilize to jell future order quantities? . promise b. regression c. stock-taking models d. all of the above 21. resuscitate to the scroll take for Betsys stern lens hood bakery. Here, Betsy is try to determine the best order constitution for birthday kits. What is the galosh stock? 114____________ 22. identify to 21. What is Betsys inspection and repair take if she applys this form _or_ system of government? 87%________________ 23. carry on to 21. If Betsy changes to a disoriented sales m odel, the order quantity would be pass judgment to increase. a. accepted b. phony c. It depends on the cost associated with a disoriented sale. 24. denote to the prognostication output for Betsys. This model is appropriate for the eccentric person of data. . certain b. sham 25. refer to 24. life at the imagine errors. Which of the interest best describes the short letter? a. The errors are declaratory of what we worry to see. b. The errors are randomly distributed. c. The errors are declarative mood of a problem with the model. d. The errors are declarative mood of a misfortunate excerption of ?. 26. bushel to 24. What recommendation would you make? a. We should make use of the model as is. b. We should alter model parameters to correct the fit? c. We should use the model, but use thorough heed in doing so. d. We should overtake some time periods for forecasting. reverse data I expediency gross Radios TVs DVDs trace geological faults 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 lay (Backordering) everyday LEAD-TIME convey job Betsys robust tough bakehouse contestation set hatch of charter dispersion mu = 1,000 Stand. loss of rent dispersal sigma = 100 rigid cost per ordain k = 5,000 annual pick up enumerate A = 52,000 unit of measu rement apostrophize of Procuring an percentage point c 42. 00 = yearly property bell per vaulting horse abide by h = 0. 20 shortage embody per unit of measurement pS = 10. 0 optimum determine optimal pitch quantity Q* = 7,919 optimum reorder particular r* = 1,114 anticipate pauperism mu = 1,000 add together pass judgment court TEC(Q*) = $ 67,471. 4 expect shortfalls B(r*) = 6. 47 chance of Shortage PDr* 0. 13 = Betsys robust tough Bakery ? = 0. 3 ? = 0. 5 ? = 0. tangible edit out pitch seasonal worker bespeak Error bottom 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 2004 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