Location Score Factor (100 points each) Weight Convenience A 0.15 80 Parking facilities 0.20 72 Display area 0.18 88 Shopper traffic 0.27 94 Operating costs 0.10 98 Neighborhood 0.10 96 0100 0 ND B88 В 70 76 90 86 90 85 182285 с 60 92 90 80 82 75 1.00 Click here for the Excel Data File a. Using the above factor ratings, calculate the composite score for each location. (Do not round intermediate calculations. Round your final answers to 2 decimal places.) Location Composite Score A B с
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- A manager received an analysis of several cities being considered for a new office complex. The data (10 points maximum) are as follows: Factor Business services Community services Real estate cost Construction costs Cost of living Taxes Transportation A с Thus, Location Score A A B с Thus, 17 17 17 8 6 4 3 2 8 9 B 6 6 Click here for the Excel Data File a. If the manager weights the factors equally, how would the locations stack up in terms of their composite factor rating scores? 8 7 7 19 19 19 5 7 is/are the best. C 6 7 7 6 8 b. If business services and construction costs are given weights that are double the weights of the other factors, how would the locations stack up? is/are best and 4 8 is/are least desirable.Freight car loadings over an 18-week period at a busy port are as follows: Week Number Week Number Week Number 1 410 7 460 13 540 2 420 8 480 14 550 3 430 9 500 15 570 4 420 10 490 16 580 5 430 11 510 17 590 6 440 12 530 18 600 Click here for the Excel Data File a. Determine a linear trend line for expected freight car loadings. (Round your intermediate calculations and final answers to 2 decimal places.) b. Use the above trend equation to predict expected loadings for Weeks 20 & 21. (Round your final answers to 2 decimal places.) c. The manager intends to install new equipment when the volume exceeds 990 loadings per week. Assuming the current trend continues, in which week (at the earliest) should the loading volume reach that level? (Use the rounded answers, as required, from any previous part of this problem. Do not round any other intermediate calculations. Round your final answer to 2 decimal places.)10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 A 25 26 27 28 29 30 B с 1 2 Based on the city distance dataset as follows: 3 4 5 6 7 8 9 1 Boston 2 Chicago 3 Dallas 4 Denver 5 LA 6 Miami 7 Phoenix 8 Seattle D Phoenix Chicago Denver Dallas 0 983 1815 1991 3036 1539 2664 2612 Boston Chicago Dallas Total trip miles by the traveler: Index Cities Seattle LA E Total trip miles 983 0 1205 1050 2112 1390 1729 2052 F Distance 1815 1205 0 801 1425 1332 1027 2404 G Denver LA 1991 1050 801 0 1174 2100 836 1373 H 3036 2112 1425 1174 0 2757 398 1909 I Miami 1539 1390 1332 2100 2757 0 2359 3389 J K Phoenix Seattle 2664 1729 1027 836 398 2359 0 1482 A resident of Seattle is embarking on a road trip that takes her to Los Angeles, Phoenix, Chicago, Denver, Dallas, and finally go back to Seattle. How many miles will she travel on this trip? Hint: Use INDEX and MATCH to answer the above question. 2612 2052 2404 1373 1909 3389 1482 0 L M N
- Using the grid technique to determine the least-cost location (warehouse) for this problem: Tons Rate X - Coordinates Y – Coordinates S1 200 0.5 2 14 S2 300 0.6 6 10 M1 100 1 2 2 M2 100 2 10 14 M3 100 1 14 18 M4 100 2 14 6 The Grid center coordination is ____ and _____ (round the results to 1 decimal place) Group of answer choices (9.9; 7.8) (5.5; 6.9) (8.7; 10.5) (10.5; 6.4) (9.9; 8.9)City government has collected the following data on annual sales tax collections and new car registrations: Annual Sales Tax Collections (in millions) 1.0 1.4 1.9 2.0 1.8 2.1 2.3 2.5 New Car Registrations (in millions) 10 12 15 16 14 17 20 22 Determine the following: Plot these data and decide if a linear model is reasonable. Using the results of part a., find the estimated sales tax collections if new car registrations total 25,000,000.ABC Company will launch its new SKU of pen next month in preparation for the school opening. The president requested for the determination of the base market given the following: Population: 10,000,000; Gender: Male is 33%; Female is 67%; Age: 0-10 is 10%, 11-20 is 20%; 21-30 is 13%, 31-40 is 27%, 41-50 is 20%, 51 AND UP IS 10%; SEC: A is 3%; B is 7%, C1 is 30%; C2 is 15%l D is 25% and E is 20%. Additionally, PQ is 50%. Suppose that your target market is male, ages 21 to 40, belonging to SEC C1,C2 and D. The base market is _________.
- 4. Spears Rowbuck has recorded the following sales figures. Calculate the seasonal indices for Thursday and Friday. Week 1 Week 2 Week 3 Week 4 Monday 43 51 40 66.0 Tuesday 45 41 57 58.6 Wednesday 22 37 30 34.7 Thursday 25 22 33 36.7 Friday 31 25 37 25.0 a. Thursday = 29.18, Friday = 29.50 b. Thursday = 0.2074, Friday = 1.1632 c. None of the other options. d. Thursday = 0.7678, Friday = 0.7763 e. Thursday = 0.6142, Friday = 0.6211Roger Co. implemented activity-based costing in the current year. To select the appropriate driver for Cost Pool A, Roger performed regression analyses for two independent variables, Driver 1 and Driver 2, using monthly operating data. The monthly levels of Cost Pool A were the dependent variables in both regressions. Output results from the regression analyses were as follows: Driver 1 R squared Intercept X variable (slope) At the budgeted production level for next month, the levels of Driver 1 and Driver 2 are expected to be 5,880 and 7,000, respectively. Based on this information, what is the budgeted amount for Cost Pool A for next month? O A. $3,280 OB. $2,624 O C. $3,464 O D. $3,785 0.46 $551.00 Driver 2 $0.55 0.80 $970.00 $0.33A manager uses this equation to predict demand for landscaping services: Ft= 10 + 5t Over the past eight periods, demand has been as follows: Period, t: 1 Demand: 15 2 21 Period, t Tracking signal 1 2 3 4 5 6 7 8 3 23 30 5 32 6 38 42 Click here for the Excel Data File Compute the tracking signals for Periods 1-8. (Negative values should be indicated by a minus sign. Round your intermediate calculations and final answers to 3 decimal places.) 8 47
- Refer to the following sensitivity report: Variable Cells Cell Name Final Value Reduced Cost Objective Coefficient AllowableIncrease AllowableDecrease $B$2 Product_1 0 −2 5 2 1E+30 $B$3 Product_2 175 0 7 1E+30 1 $B$4 Product_3 0 −1.5 9 1.5 1E+30 Constraints Cell Name Final Value Shadow Price Constraint R.H.Side AllowableIncrease AllowableDecrease $H$9 Resource_A 0 0 100 1E+30 100 $H$10 Resource_B 525 0 800 1E+30 275 $H$11 Resource_C 700 1.75 700 366.6666667 700 If the objective function coefficient for Product_1 were increased to a value of 8, which of the following would be TRUE? The optimal solution would change. The optimal objective function value would stay the same. Product_1 would enter the solution (the final value of the variable Product_1 would be greater than zero).Refer to the following sensitivity report: Variable Cells Cell Name Final Value Reduced Cost Objective Coefficient AllowableIncrease AllowableDecrease $B$2 Product_1 0 −2 5 2 1E+30 $B$3 Product_2 175 0 7 1E+30 1 $B$4 Product_3 0 −1.5 9 1.5 1E+30 Constraints Cell Name Final Value Shadow Price Constraint R.H.Side AllowableIncrease AllowableDecrease $H$9 Resource_A 0 0 100 1E+30 100 $H$10 Resource_B 525 0 800 1E+30 275 $H$11 Resource_C 700 1.75 700 366.6666667 700 If the right-hand side of Resource_C increases to 750, which of the following would be true The objective function value will increase by $1.75 The objective function value will decrease by $1.75 The objective function value will increase by $87.50 The objective function value will decrease by $87.50 None of the answer choices is correctRefer to the following sensitivity report: Variable Cells Cell Name Final Value Reduced Cost Objective Coefficient AllowableIncrease AllowableDecrease $B$2 Product_1 0 −2 5 2 1E+30 $B$3 Product_2 175 0 7 1E+30 1 $B$4 Product_3 0 −1.5 9 1.5 1E+30 Constraints Cell Name Final Value Shadow Price Constraint R.H.Side AllowableIncrease AllowableDecrease $H$9 Resource_A 0 0 100 1E+30 100 $H$10 Resource_B 525 0 800 1E+30 275 $H$11 Resource_C 700 1.75 700 366.6666667 700 If the objective function coefficient for Product_1 were decreased to a value of 3, which of the following would be TRUE? The optimal solution would change. The optimal objective function value would stay the same. Product_1 would enter the solution (the final value of the variable Product_1 would be greater than zero).