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Question: Rhonda Clark, a Slippery Rock, Pennsylvania, real


Rhonda Clark, a Slippery Rock, Pennsylvania, real estate developer, has devised a regression model to help determine residential housing prices in northwestern Pennsylvania. The model was developed using recent sales in a particular neighborhood. The price (Y) of the house is based on the size (square footage5 X) of the house. The model is:
Y = 13,473 + 37.65X

The coefficient of correlation for the model is 0.63.
a) Use the model to predict the selling price of a house that is1,860 square feet.
b) An 1,860-square-foot house recently sold for $95,000. Explain why this is not what the model predicted.
c) If you were going to use multiple regression to develop such a model, what other quantitative variables might you include?
d) What is the value of the coefficient of determination in this problem?


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> Given the activities whose sequence is described by the following table, draw the appropriate activity-on-arrow (AOA) network diagram. a) Which activities are on the critical path? b) What is the length of the critical path? IMMEDIATE ACTIVITY PREDE

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> What is the use of Gantt charts in project management?

> McBurger, Inc., wants to redesign its kitchens to improve productivity and quality. Three designs, called designs K1, K2, and K3, are under consideration. No matter which design is used, daily production of sandwiches at a typical McBurger restaurant is

> Use the data in Solved Problem 5.1 to examine what happens to the decision if Sarah King can increase all of Design B yields from 59,000 to 64,000 by applying an expensive phosphorus to the screen at an added manufacturing cost of $250,000. Prepare the m

> Ritz Products’s materials manager, Tej Dhakar, must determine whether to make or buy a new semiconductor for the wrist TV that the firm is about to produce. One million units are expected to be produced over the life cycle. If the product is made, start-

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> Select a service business that involves interaction between customers and service providers, and create a PCN diagram similar to Figure 5.12. Pick a key step that could be performed either by the service provider or by the customers. Show process positio

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> Prepare a script for telephone callers at the university’s annual “phone-a-thon” fund raiser.

> Prepare a bill of material for (a) a pair of eyeglasses and its case or (b) a fast-food sandwich (visit a local sandwich shop like Subway, McDonald’s, Blimpie, Quizno’s; perhaps a clerk or the manager will provide you with details on the quantity or weig

> Based on the competitiveness ranking developed by the Global Competitiveness Index (www.weforum.org), rank the following countries from most competitive to least: Mexico, Switzerland, the U.S., and China.

> Construct a house of quality matrix for a wristwatch. Be sure to indicate specific customer wants that you think the general public desires. Then complete the matrix to show how an operations manager might identify specific attributes that can be measure

> Given the contribution made on each of the three products in the following table and their position in the life cycle, identify a reasonable operations strategy for each: COMPANY CONTRIBUTION PRODUCT CONTRIBUTION (%: TOTAL ANNUAL CONTRIBUTION DIVIDE

> Prepare a product-by-value analysis for the following products, and given the position in its life cycle, identify the issues likely to confront the operations manager and his or her possible actions. Product Alpha has annual sales of 1,000 units and a c

> What are some of the questions that can be answered with PERT and CPM?

> The following are monthly actual and forecast demand levels for May through December for units of a product manufactured by the D. Bishop Company in Des Moines: What is the value of the tracking signal as of the end of December? MONTH ACTUAL DEMAND

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> Dave Fletcher, the general manager of North Carolina Engineering Corporation (NCEC), thinks that his firm’s engineering services contracted to highway construction firms are directly related to the volume of highway construction busines

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> Using the 911 call data in Problem 4.31, forecast calls for weeks 2 through 25 with a trend-adjusted exponential smoothing model. Assume an initial forecast for 50 calls for week 1 and an initial trend of zero. Use smoothing constants of a = .3 and b = .

> Emergency calls to the 911 system of Durham, North Carolina, for the past 24 weeks are shown in the following table: a) Compute the exponentially smoothed forecast of calls for each week. Assume an initial forecast of 50 calls in the first week, and us

> Match the product with the proper parent company and country in the table below: PRODUCT PARENT COMPANY COUNTRY Arrow Shirts a. Volkswagen 1. France Braun Household 2. Great b. Bidermann International Appliances Britain Volvo Autos c. Bridgestone 3.

> Dr. Lillian Fok, a New Orleans psychologist, specializes in treating patients who are agoraphobic (i.e., afraid to leave their homes). The following table indicates how many patients Dr. Fok has seen each year for the past 10 years. It also indicates wha

> The number of disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: YEAR……………DISK DRIVES 1…………………………..140 2…………………………..160 3…………………………..190 4………………………….200 5…………………………..210 a) Forecast the number of disk drives to be made

> North Dakota Electric Company estimates its demand trend line (in millions of kilowatt hours) to be: D = 77 + 0.43Q Where Q refers to the sequential quarter number and Q 5 1 for winter of Year 1. In addition, the multiplicative seasonal factors are as f

> Attendance at Orlando’s newest Disney like attraction, Lego World, has been as follows: Compute seasonal indices using all of the data. GUESTS (IN THOUSANDS) QUARTER GUESTS QUARTER (IN THOUSANDS) Winter Year 1 73 Summer Year 2 124

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> The following gives the number of accidents that occurred on Florida State Highway 101 during the past 4 months: MONTH……………………NUMBER OF ACCIDENTS January……….....…………………….30 February……………………..………..40 March……………………………..……60 April…………………………………….90 Forecas

> Sales of quilt covers at Bud Banis’s department store in Carbondale over the past year are shown below. Management prepared a forecast using a combination of exponential smoothing and its collective judgment for the 4 months (March, Apr

> Refer to Problem 4.21. Reference Problem 4.21: Refer to the trend-adjusted exponential smoothing illustration in Example 7 on pages 122 – 123. Using a = .2 and b = .4, we forecast sales for 9 months, showing the detailed calculation

> Refer to the trend-adjusted exponential smoothing illustration in Example 7 on pages 122 – 123. Using a = .2 and b = .4, we forecast sales for 9 months, showing the detailed calculations for months 2 and 3. In Solved Problem 4.2, we continued the process

> What are the objectives of supply chain management?

> Resolve Problem 4.19 with a = .1 and b = .8. Using MSE, determine which smoothing constants provide a better forecast. Reference Problem 4.19: Income at the architectural firm Spraggins and Yunes for the period February to July was as follows: Use tre

> Income at the architectural firm Spraggins and Yunes for the period February to July was as follows: Use trend-adjusted exponential smoothing to forecast the firm’s August income. Assume that the initial forecast average for February

> Consider the following actual (A t) and forecast (F t) demand levels for a commercial multiline telephone at Office Max: The first forecast, F1, was derived by observing A1 and setting F1 equal to A1. Subsequent forecast averages were derived by expone

> Refer to Solved Problem 4.1 on page 144. Solved Problem 4.1: Sales of Volkswagen’s popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). The sales manager had predicted before the

> Refer to Solved Problem 4.1 on page 144. Solved Problem 4.1: Sales of Volkswagen’s popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). The sales manager had predicted before the n

> Refer to Solved Problem 4.1 on page 144. Solved Problem 4.1: Sales of Volkswagen’s popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). The sales manager had predicted before the n

> Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons. What are the MAD and MSE for each

> As you can see in the following table, demand for heart transplant surgery at Washington General Hospital has increased steadily in the past few years: The director of medical services predicted 6 years ago that demand in year 1 would be 41 surgeries.

> Consider the following actual and forecast demand levels for Big Mac hamburgers at a local McDonald’s restaurant: The forecast for Monday was derived by observing Monday’s demand level and setting Mondayâ€

> Use exponential smoothing with a smoothing constant of 0.3 to forecast the registrations at the seminar given in Problem 4.10. Reference Problem 4.10: Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in

> As part of a study for the Department of Labor Statistics, you are assigned the task of evaluating the improvement in productivity of small businesses. Data for one of the small businesses you are to evaluate are shown at right. The data are the monthly

> Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: a) Develop a 3-year moving average to forecast registrations from year 4 to year 12. b) Estimate demand again for yearâ&#1

> Lenovo uses the ZX-81 chip in some of its laptop computers. The prices for the chip during the past 12 months were as follows: a) Use a 2-month moving average on all the data and plot the averages and the prices. b) Use a 3-month moving average and add

> Daily high temperatures in St. Louis for the last week were as follows: 93, 94, 93, 95, 96, 88, 90 (yesterday). a) Forecast the high temperature today, using a 3-day moving average. b) Forecast the high temperature today, using a 2-day moving average. c)

> The actual demand for the patients at Omaha Emergency Medical Clinic for the first 6 weeks of this year follows: WEEK………………ACTUAL NO. OF PATIENTS 1…………………………………65 2………………………………..62 3………………………………..70 4………………………………..48 5………………………………..63 6………………………………..52

> The monthly sales for Yazici Batteries, Inc., were as follows: MONTH…………………SALES January…………………….20 February……………………21 March……………………….15 April…………………………14 May………………………….13 June…………………………16 July………………………….17 August…………………….18 September………………20 October………

> The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows: YEAR……….MILEAGE 1………………3,000 2……………..4,000

> Refer to Problem 4.2. Reference Problem 4.2: a) Plot the above data on a graph. Do you observe any trend, cycles, or random variations? b) Starting in year 4 and going to year 12, forecast demand using a 3-year moving average. Plot your forecast on th

> a) Plot the above data on a graph. Do you observe any trend, cycles, or random variations? b) Starting in year 4 and going to year 12, forecast demand using a 3-year moving average. Plot your forecast on the same graph as the original data. c) Starting i

> The following gives the number of pints of type B blood used at Woodlawn Hospital in the past 6 weeks: WEEK OF………………...PINTS USED August 31………………………360 September 7………………….389 September 14………………..410 September 21………………..381 September 28……………....3

> Figure 1.1 outlines the operations, finance/accounting, and marketing functions of three organizations. Prepare a chart similar to Figure 1.1 outlining the same functions for one of the following: a. a newspaper b. a drugstore c. a college library d. a s

> Brown’s, a local bakery, is worried about increased costs—particularly energy. Last year’s records can provide a fairly good estimate of the parameters for this year. Wende Brown, the owner, does not

> Kimpel Products makes pizza ovens for commercial use. James Kimpel, CEO, is contemplating producing smaller ovens for use in high school and college kitchens. The activities necessary to build an experimental model and related data are given in the follo

> Define chase strategy.

> List the strategic objectives of aggregate planning. Which one of these is most often addressed by the quantitative techniques of aggregate planning? Which one of these is generally the most important?

> Explain what the term aggregate in “aggregate planning” means.

> Define aggregate planning.

> Why are S&OP teams typically cross-functional?

> Define sales and operations planning.

> What is SCOR, and what purpose does it serve?

> What is e-procurement?

> Development of Version 2.0 of a particular accounting software product is being considered by Jose Noguera’s technology firm in Baton Rouge. The activities necessary for the completion of this project are listed in the following table:

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