Deck 10: Forecasting

Question 1

A collaborative planning,forecasting and replenishment system eliminates the need for forecasting.

Answer 1

False

Question 2

What distinguishes collaborative planning,forecasting,and replenishment (CPFR)systems from traditional planning approaches is the emphasis on forecasting.

Answer 2

False

Question 3

A video game publishing company needs to predict the total sales in the European market for the next year.This is an example of a(n):

A)firm-level demand forecast.
B)overall market demand forecast.
C)supply forecast.
D)price forecast.

Answer 3

B

Question 4

The slope of the regression equation is positive if the r-squared value is greater than 0.0.

Question 5

The Delphi method,panel consensus forecasting,and market surveys are all qualitative methods,but only market surveys do not use experts.

Question 6

A model with a positive mean forecast error suggests that,on average,the model underforecasts.

Question 7

Forecasts are almost always wrong.

Question 8

A seasonal index less than 1.0 means that the model is overforecasted.

Question 9

Multiple regression is used when the forecaster believes that more than one independent variable should be used to predict the variable of interest.

Question 10

The independent variable is the quantity the forecaster is interested in estimating with a linear regression model.

Question 11

A seasonal pattern in time series data is evident when the level of the variable of interest moves erratically up or down from one period to the next.

Question 12

When there is a significant upward or downward trend in the data,the two best forecasting models are exponential smoothing and linear regression.

Question 13

The greater the randomness in the model,the greater the number of periods should be used in a moving average forecast.

Question 14

Qualitative forecasts are used when there is plenty of relevant data.

Question 15

Fed up with her working conditions at the call center,Lisa decides to invest in a state-of-the-art sewing machine and produce limited quantities of her own clothing designs.After a few months of operation,she decides to apply some of the forecasting techniques she mastered in school.Which of these statements about her forecasts is correct?

A)Her forecasts will probably be 100% accurate.
B)Her demand forecasts for a year from now will probably be more accurate than her demand forecasts for three months from now.
C)Her demand forecasts for each style of skirt will be less accurate than her demand forecasts for all skirts.
D)The best way for her to determine the amount of fabric she needs is to forecast it based on her customer orders for each type of skirt.

Question 16

Exponential smoothing with an alpha of one will yield identical results to a last period actual demand.

Question 17

Over the long run,fluctuations in demand due to seasonality are greater than those due to randomness.

Question 18

Demand was low two years ago but increased sharply last year thanks to an aggressive marketing campaign.A time series model that puts the greatest emphasis on the most recent period is probably the best choice to predict next year's demand.

Question 19

The forecast data matches the actual data perfectly if the mean absolute deviation is 0.0.

Question 20

The tracking signal calculated for the first forecast is always either +1 or -1.

Question 21

Which of these quantitative techniques is a causal model?

A)linear regression
B)last period
C)exponential smoothing
D)weighted moving average

Question 22

Which of these forecasts is the BEST?

A)The one with a MAD of zero.
B)The one with the tracking signal of +4.
C)The one with the tracking signal of -4.
D)The one where the tracking signal times the MAD equals zero.

Question 23

Nora Damus reviews her forecasting triumphs and failures as part of her annual report to the Chief Operating Officer.She notes that her monthly forecast for batteries has a mean forecast error of 20,and a mean absolute deviation of 20.Which of the following statements about her forecast is BEST?

A)Nora has miscalculated her mean forecast error.
B)Nora has miscalculated her mean absolute deviation.
C)Nora has a strongly negative tracking signal.
D)Nora has a strongly positive tracking signal.

Question 24

A firm's demand data from the last two quarters is displayed in the table.

What is the three-period moving average for July's demand?

A)172
B)181
C)206
D)217

Question 25

Heidi runs a multiple regression for the output of cheese curds by using the daily temperature and the consumption of sweet clover.The intercept term is 23,the slope coefficient for the daily temperature is 1.5 and the slope coefficient for the consumption of sweet clover is 0.Which of these conclusions is most appropriate?

A)Heidi should collect more data.
B)The most important term in Heidi's model is the intercept.
C)As the daily temperature rises,the intercept term probably decreases.
D)Heidi should drop the sweet clover term from her model.

Question 26

A long-term movement up or down in a time series is called:

A)seasonality.
B)trend.
C)randomness.
D)cycle.

Question 27

A forecaster develops a linear regression model for quarterly sales data shown in the table.The slope of the regression equation is 37.9 and the intercept is 57.Use the regression model to determine the seasonal index for the third quarter.

A)0)99
B)1)12
C)0)93
D)1)09

Question 28

The greater the randomness in the data,the ________ the value of the alpha in an exponential smoothing forecast.

Question 29

The panel consensus forecasting approach requires that the forecasting team discuss their forecast as a team but the ________ requires that each member of the team develop a separate forecast initially.

Question 30

A qualitative forecasting technique well-suited for demand forecasts of a new product or service is the:

A)Delphi method.
B)build-up forecast.
C)life cycle analogy method.
D)market survey.

Question 31

McMahon and Tate advertising company is interested in an appropriate mix of print,radio,and television ads for their new client.Darrin Stevens performs a multiple regression on the effects of dollars spent on each type of media on dollars of sales of product.Darrin uses data from the most recent advertising campaigns and develops the following equation: y = 254,215 + 6.79 × Print - 1.4 × Radio + 16.87 × Television
The r-squared statistic is 0.77.Which of the following statements is BEST?

A)At a minimum,the client will sell $254,215 worth of product after the new advertising campaign.
B)At a maximum,the client will sell $254,215 worth of product after the new advertising campaign.
C)This equation will be of no use in predicting the amount of sales based on advertising in these media.
D)The client should spend more money on television advertising than on radio advertising.

Question 32

Heidi favors using a two period moving average but Tim is "an exponential-smoothing man." Tim's demand forecast for May was identical to Heidi's.What value of alpha would Tim need to use in order for his June forecast to be identical to Heidi's if each sticks with their preferred technique?

A))085
B))196
C))237
D))348

Question 33

A well-educated lumberjack decides to use linear regression to predict the demand for firewood based on the ambient temperature.He has collected data on firewood sales and temperature for the last several days and has performed some preliminary calculations as shown in the table.What is his regression equation based on the data?

A)Ricks = 50.6 - 0.93 x Temp
B)Temp = 53.3 - 1.0 x Ricks
C)Ricks = 0.93 - 50.6 x Temp
D)Temp = 1.0 - 53.3 x Ricks

Question 34

Which of the following statements regarding collaborative planning,forecasting,and replenishment (CPFR)systems is BEST?

A)In CPFR,each business develops a sales and operations plan and the mainframe system reconciles these plans to find a middle ground that all businesses work towards.
B)CPFR is a set of business processes.
C)CPFR has the Project Management Body of Knowledge (PMBOK©)as its basis.
D)Recent studies have demonstrated that manual,paper-based CPFR systems are more responsive and more accurate than computer-based CPFR systems.

Question 35

Use a three period weighted moving average with W_t = 0.7,W_t-1 = 0.2,and W_t-2 = 0.1 to forecast demand for July.

A)235.2
B)195.6
C)158.8
D)180.4

Question 36

A qualitative forecasting technique in which individuals familiar with specific market segments estimate the demands within these sectors that are then summed to get an overall forecast is called a:

A)market survey.
B)life cycle analogy.
C)panel consensus.
D)build-up method.

Question 37

A drive-in restaurant has experienced the following customer loads on the past 8 Friday nights.If their forecast for period 7 was 59 customers,then what is their forecast for period number 9 using a smoothing constant of 0.7?

A)61.10
B)62.43
C)59.90
D)60.83

Question 38

A company keeps track of unit sales and notes a strong trend during the past eight periods.They use an adjusted exponential smoothing model with an alpha equal to 0.7 and a beta equal to 0.6.Using the demand data and previous forecasts shown in the table,develop a forecast for period 4.

A)82.2
B)84.9
C)87.5
D)91.6

Question 39

________ is unpredictable movement from one time period to the next

Question 40

Two smoothing models that yield identical forecasts are exponential smoothing with an alpha equal to ________ and a moving average with n equal to ________.

Question 41

Develop forecasts for periods 7 through 10 for the demand data in the table using a three period moving average,a weighted moving average using 0.6,0.3,and 0.1,and exponential smoothing with alpha = 0.7.Use a 6th period forecast of 135 as the starting point for the exponential smoothing technique.

Question 42

Models that predict demand based upon some independent factor(s)other than time are ________ forecasting models.

Question 43

Supply chain partners might use a(n)________ to develop joint sales and operations plans and projections of output if they have agreed on a common set of objectives.

Question 44

Two time series techniques that are appropriate when the data display a strong upward or downward trend are ________ and ________.

Question 45

Describe the mechanics of three qualitative forecasting techniques and compare their strengths and weaknesses.

Question 46

Examine these two graphs and based on the demand pattern and axis scaling,recommend a forecasting technique (and the required parameters)that would work best for each one.Justify your recommendations.

Question 47

Multiple regression was used to forecast success in college (GPA)based upon SAT score,high school GPA,and hours spent online.Use the regression output shown and comment on the overall fit of the model,the usefulness of each independent variable,and the value to an admissions department of using the model to make admission decisions.What is the model's forecast for an applicant having a high school GPA of 2.5 and an SAT score of 1000 that spends 20 hours a week on-line? What other variables do you feel would make good indicators of college GPA?

Question 48

What are the laws of forecasting and what are their implications for operations and supply chain managers?

Question 49

A forecaster is assessing two different models for demand.The output from each model and the actual demand data appear in the table.Use MAD and a tracking signal to compare the two models.Which model does a better job of forecasting?

Question 50

The Pancake House did a brisk business on the weekend and the maître d' was always on the lookout for ways to improve the customer experience.He carefully tracked the number of customers that graced their establishment over the last four weekends.He was hopeful that he could forecast the number of customers that would come for the world's finest pancakes the next weekend.

Using the data in the table,first plot the data and comment on the appearance of the demand pattern.Then develop a forecast for weekend #5 that fits the data.

Question 51

A tracking signal value between ________ and ________ would suggest that the forecasting technique in use is appropriate.

Question 52

Using the data shown in the table,develop a trend line that can be used to predict the demand for time period number 20.What is the prediction equation and what is your forecast for period 20?

Question 53

Dividing actual demand by the model's forecast yields an index that can be used to adjust for ________ in the data.

Question 54

What is a collaborative planning,forecasting,and replenishment system and might it benefit those who choose to use it?

Question 55

In order to indicate ________ in a forecast model,you should use the mean forecast error approach rather than the mean absolute deviation approach.