Deck 9: Forecasting

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Question
The greater the randomness in the model,the greater the number of periods should be used in a moving average forecast.
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Question
The Delphi method,panel consensus forecasting,and market surveys are all qualitative forecasting methods,but only market surveys do NOT use experts.
Question
Exponential smoothing with an alpha of one will yield identical results to a last period forecast.
Question
The independent variable is the quantity the forecaster is interested in estimating with a linear regression model.
Question
When there is a significant upward or downward trend in the data,the two best forecasting models are adjusted exponential smoothing and linear regression.
Question
The slope of the regression equation is positive if the r-squared value is greater than 0.0.
Question
A seasonal index less than 1.0 means that the model is overforecasted.
Question
Over the long run,fluctuations in demand due to seasonality are greater than those due to randomness.
Question
A long-term movement up or down in a time series is called:

A) seasonality.
B) trend.
C) randomness.
D) cycle.
Question
Describe the mechanics of three qualitative forecasting techniques and compare their strengths and weaknesses.
Question
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
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 more 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
A qualitative forecasting technique in which individuals familiar with specific market segments estimate the demand 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 forecasting.
D) build-up forecast.
Question
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
What are the laws of forecasting and what are their implications for operations and supply chain managers?
Question
Qualitative forecasts are used when there is plenty of relevant data.
Question
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.
Question
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
Forecasts are almost always wrong.
Question
A firm's demand data from the last two quarter is displayed in the table.Use a three period moving average to forecast demand for July. <strong>A firm's demand data from the last two quarter is displayed in the table.Use a three period moving average to forecast demand for July.  </strong> A) 206 B) 217 C) 223 D) 226 <div style=padding-top: 35px>

A) 206
B) 217
C) 223
D) 226
Question
________ is unpredictable movement from one time period to the next.
Question
Two smoothing models that yield identical forecasts are exponential smoothing with an alpha equal to ________ and a moving average with n equal to ________.
Question
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.
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 6<sup>th</sup> period forecast of 135 as the starting point for the exponential smoothing technique.  <div style=padding-top: 35px>
Question
A firm's demand data from the last two quarter is displayed in the table.Use a three period weighted moving average with Wt = 0.7,Wt-1 = 0.2,and Wt-2 = 0.1 to forecast demand for July. <strong>A firm's demand data from the last two quarter is displayed in the table.Use a three period weighted moving average with W<sub>t </sub>= 0.7,W<sub>t-1 </sub>= 0.2,and W<sub>t-2 </sub>= 0.1 to forecast demand for July.  </strong> A) 235.2 B) 195.6 C) 158.8 D) 180.4 <div style=padding-top: 35px>

A) 235.2
B) 195.6
C) 158.8
D) 180.4
Question
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 8 using a smoothing constant of 0.7? <strong>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 8 using a smoothing constant of 0.7?  </strong> A) 61.10 B) 62.43 C) 59.90 D) 60.83 <div style=padding-top: 35px>

A) 61.10
B) 62.43
C) 59.90
D) 60.83
Question
A counseling service records the number of calls to their hotline for the last year.Plot the data and determine which forecasting technique would be best among a moving average,weighted moving average,exponential smoothing,and trend line.
A counseling service records the number of calls to their hotline for the last year.Plot the data and determine which forecasting technique would be best among a moving average,weighted moving average,exponential smoothing,and trend line.  <div style=padding-top: 35px>
Question
Dividing actual demand by the model's forecast yields an index that can be used to adjust for ________ in the data.
Question
Consider the data that generate this plot covering time months 1 to 50.What characteristic is most prominent in the pattern? <strong>Consider the data that generate this plot covering time months 1 to 50.What characteristic is most prominent in the pattern?  </strong> A) trend B) seasonality C) randomness D) none <div style=padding-top: 35px>

A) trend
B) seasonality
C) randomness
D) none
Question
A counseling service records the number of calls to their hotline for the last year.What is the forecast for August if a regression equation is used to model this data? <strong>A counseling service records the number of calls to their hotline for the last year.What is the forecast for August if a regression equation is used to model this data?  </strong> A) 188.3 B) 179.9 C) 180.6 D) 175.7 <div style=padding-top: 35px>

A) 188.3
B) 179.9
C) 180.6
D) 175.7
Question
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. <strong>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.  </strong> A) 82.2 B) 84.9 C) 87.5 D) 91.6 <div style=padding-top: 35px>

A) 82.2
B) 84.9
C) 87.5
D) 91.6
Question
A counseling service records the number of calls to their hotline for the last year.What is the forecast for October if a weighted moving average with weights of 0.5,0.3,and 0.2 is used to model this data? <strong>A counseling service records the number of calls to their hotline for the last year.What is the forecast for October if a weighted moving average with weights of 0.5,0.3,and 0.2 is used to model this data?  </strong> A) 177.4 B) 185.7 C) 197.7 D) 190.3 <div style=padding-top: 35px>

A) 177.4
B) 185.7
C) 197.7
D) 190.3
Question
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? <strong>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?  </strong> A) )085 B) )196 C) )237 D) )348 <div style=padding-top: 35px>

A) )085
B) )196
C) )237
D) )348
Question
Using the data shown in the table,develop a regression 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?
Using the data shown in the table,develop a regression 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?  <div style=padding-top: 35px>
Question
A counseling service records the number of calls to their hotline for the last year.What is the forecast for August if the forecast for June was 164 and the service uses exponential smoothing with an alpha of 0.8? <strong>A counseling service records the number of calls to their hotline for the last year.What is the forecast for August if the forecast for June was 164 and the service uses exponential smoothing with an alpha of 0.8?  </strong> A) 164.80 B) 188.93 C) 180.67 D) 175.36 <div style=padding-top: 35px>

A) 164.80
B) 188.93
C) 180.67
D) 175.36
Question
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.
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.<div style=padding-top: 35px> 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
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. 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.    <div style=padding-top: 35px> 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.    <div style=padding-top: 35px>
Question
A counseling service records the number of calls to their hotline for the last year.What is the forecast for March if an adjusted exponential smoothing model is used with α=0.8 and β=0.7? The unadjusted forecast for January is 123.5. <strong>A counseling service records the number of calls to their hotline for the last year.What is the forecast for March if an adjusted exponential smoothing model is used with α=0.8 and β=0.7? The unadjusted forecast for January is 123.5.  </strong> A) 135.44 B) 138.53 C) 132.76 D) 144.34 <div style=padding-top: 35px>

A) 135.44
B) 138.53
C) 132.76
D) 144.34
Question
The greater the randomness in the data,the ________ the value of the alpha should be in an exponential smoothing forecast.
Question
Two time series techniques that are appropriate when the data display a strong upward or downward trend are ________ and ________.
Question
A counseling service records the number of calls to their hotline for the last year.What is the forecast for July if the service uses a simple moving average of three periods? <strong>A counseling service records the number of calls to their hotline for the last year.What is the forecast for July if the service uses a simple moving average of three periods?  </strong> A) 169 B) 163 C) 157 D) 178 <div style=padding-top: 35px>

A) 169
B) 163
C) 157
D) 178
Question
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.After running a multiple regression model,he obtains the following report.What is the best interpretation of these statistics? Regression Statistics
<strong>A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.After running a multiple regression model,he obtains the following report.What is the best interpretation of these statistics? Regression Statistics  </strong> A) The probability that the number of eggs is correctly predicted by the amount of scratch, layer pellets, and water consumed is 99.36%. B) The prediction of the amount of eggs is 98.7% accurate based on the amount of scratch, layer pellets, and water consumed. C) 98.7% of the variability in egg production is explained by the amount of water, scratch, and layer pellets consumed. D) The prediction of the amount of eggs is 99.36% accurate based on the amount of scratch, layer pellets, and water consumed. <div style=padding-top: 35px>

A) The probability that the number of eggs is correctly predicted by the amount of scratch, layer pellets, and water consumed is 99.36%.
B) The prediction of the amount of eggs is 98.7% accurate based on the amount of scratch, layer pellets, and water consumed.
C) 98.7% of the variability in egg production is explained by the amount of water, scratch, and layer pellets consumed.
D) The prediction of the amount of eggs is 99.36% accurate based on the amount of scratch, layer pellets, and water consumed.
Question
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
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? <strong>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?  </strong> A) Ricks = 50.6 - 0.93 × Temp B) Temp = 53.3 - 1.0 × Ricks C) Ricks = 0.93 - 50.6 × Temp D) Temp = 1.0 - 53.3 × Ricks <div style=padding-top: 35px>

A) Ricks = 50.6 - 0.93 × Temp
B) Temp = 53.3 - 1.0 × Ricks
C) Ricks = 0.93 - 50.6 × Temp
D) Temp = 1.0 - 53.3 × Ricks
Question
Using the data in the table,first plot the data and comment on the appearance of the demand pattern.Then develop a forecast for periods 51-70 that fits the data.
Using the data in the table,first plot the data and comment on the appearance of the demand pattern.Then develop a forecast for periods 51-70 that fits the data.  <div style=padding-top: 35px>
Question
Multiple regression was used to forecast success in college (GPA)based upon SAT score,high school GPA,and hours spent on-line.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? Multiple regression was used to forecast success in college (GPA)based upon SAT score,high school GPA,and hours spent on-line.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?  <div style=padding-top: 35px>
Question
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
Which of these quantitative techniques is a causal model?

A) linear regression
B) last period
C) exponential smoothing
D) weighted moving average
Question
The forecast data matches the actual data perfectly if the mean absolute deviation is 0.0.
Question
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.After running a multiple regression model,he obtains the following report.What is the best interpretation of these statistics? <strong>A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.After running a multiple regression model,he obtains the following report.What is the best interpretation of these statistics?  </strong> A) For every egg produced, about 0.185 ounces of scratch must be consumed. B) The standard error for the model intercept is as large as the coefficient, thus the intercept is the most important predictor of egg production. C) Layer pellets are not good predictors of egg production because the p-value is 0. D) For every ounce of water consumed, the chickens produce 0.15 eggs, holding all other independent variables constant. <div style=padding-top: 35px>

A) For every egg produced, about 0.185 ounces of scratch must be consumed.
B) The standard error for the model intercept is as large as the coefficient, thus the intercept is the most important predictor of egg production.
C) Layer pellets are not good predictors of egg production because the p-value is 0.
D) For every ounce of water consumed, the chickens produce 0.15 eggs, holding all other independent variables constant.
Question
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data? <strong>A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?  </strong> A) Eggs = 6.56 + .38Scratch + .17Pellets + .21Water B) Eggs = 1.25 + .18Scratch + .29Pellets + .15Water C) Eggs = 0.93 - .88Scratch + .37Pellets + .41Water D) Eggs = 4.22 + .37Scratch + .67Pellets + .58Water <div style=padding-top: 35px>

A) Eggs = 6.56 + .38Scratch + .17Pellets + .21Water
B) Eggs = 1.25 + .18Scratch + .29Pellets + .15Water
C) Eggs = 0.93 - .88Scratch + .37Pellets + .41Water
D) Eggs = 4.22 + .37Scratch + .67Pellets + .58Water
Question
Multiple regression is used when the forecaster believes that more than one independent variable should be used to predict the variable of interest.
Question
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?   He develops one equation based on three predictors,the scratch,pellets,and water,and another equation based only on the layer pellet consumption.The output for the two models are shown side by side.Comment on the two models and which one should be used.  <div style=padding-top: 35px> He develops one equation based on three predictors,the scratch,pellets,and water,and another equation based only on the layer pellet consumption.The output for the two models are shown side by side.Comment on the two models and which one should be used.
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?   He develops one equation based on three predictors,the scratch,pellets,and water,and another equation based only on the layer pellet consumption.The output for the two models are shown side by side.Comment on the two models and which one should be used.  <div style=padding-top: 35px>
Question
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
Models that predict demand based upon some independent factor(s)other than time are ________ forecasting models.
Question
A poultry farmer that dabbles in statistics is interested in exploring the relationship between layer pellets and the output of his laying hens.For ten days he records the number of ounces of layer pellets and the number of eggs that are produced.What is his regression equation based on the data? <strong>A poultry farmer that dabbles in statistics is interested in exploring the relationship between layer pellets and the output of his laying hens.For ten days he records the number of ounces of layer pellets and the number of eggs that are produced.What is his regression equation based on the data?  </strong> A) Eggs = 11.3 + 0.42Pellets B) Eggs = 1.25 + 0.29Pellets C) Eggs = 10.9 + 0.23Pellets D) Eggs = 4.22 + 0.67Pellets <div style=padding-top: 35px>

A) Eggs = 11.3 + 0.42Pellets
B) Eggs = 1.25 + 0.29Pellets
C) Eggs = 10.9 + 0.23Pellets
D) Eggs = 4.22 + 0.67Pellets
Question
The tracking signal calculated for the first forecast is always either +1 or -1.
Question
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?  <div style=padding-top: 35px>
Question
A model with a positive mean forecast error suggests that,on average,the model underforecasts.
Question
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
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 negative tracking signal.
D) Nora has a positive tracking signal.
Question
In order to indicate ________ in a forecast model,you should use the mean forecast error approach rather than the mean absolute deviation approach.
Question
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
What distinguishes collaborative planning,forecasting,and replenishment (CPFR)systems from traditional planning approaches is the emphasis on forecasting.
Question
What is a collaborative planning,forecasting,and replenishment system and how might it benefit those who choose to use it?
Question
A counseling service records the number of calls to their hotline for the last year.Based on MAD,which of these models does the best job of forecasting? <strong>A counseling service records the number of calls to their hotline for the last year.Based on MAD,which of these models does the best job of forecasting?  </strong> A) A simple moving average of three periods B) A simple moving average of five periods C) A weighted moving average of .7, .2, .1 D) A weighted moving average of .5, .2, .2, .1 <div style=padding-top: 35px>

A) A simple moving average of three periods
B) A simple moving average of five periods
C) A weighted moving average of .7, .2, .1
D) A weighted moving average of .5, .2, .2, .1
Question
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?
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?  <div style=padding-top: 35px>
Question
A tracking signal value between ________ and ________ would suggest that the forecasting technique in use is appropriate.
Question
A collaborative planning,forecasting and replenishment system eliminates the need for forecasting.
Question
Which one 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) Studies have demonstrated that manual, paper-based CPFR systems are more responsive and more accurate than computer-based CPFR systems.
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Deck 9: Forecasting
1
The greater the randomness in the model,the greater the number of periods should be used in a moving average forecast.
True
2
The Delphi method,panel consensus forecasting,and market surveys are all qualitative forecasting methods,but only market surveys do NOT use experts.
True
3
Exponential smoothing with an alpha of one will yield identical results to a last period forecast.
True
4
The independent variable is the quantity the forecaster is interested in estimating with a linear regression model.
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5
When there is a significant upward or downward trend in the data,the two best forecasting models are adjusted exponential smoothing and linear regression.
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6
The slope of the regression equation is positive if the r-squared value is greater than 0.0.
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7
A seasonal index less than 1.0 means that the model is overforecasted.
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8
Over the long run,fluctuations in demand due to seasonality are greater than those due to randomness.
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9
A long-term movement up or down in a time series is called:

A) seasonality.
B) trend.
C) randomness.
D) cycle.
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10
Describe the mechanics of three qualitative forecasting techniques and compare their strengths and weaknesses.
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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.
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12
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 more 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.
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13
A qualitative forecasting technique in which individuals familiar with specific market segments estimate the demand 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 forecasting.
D) build-up forecast.
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14
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.
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15
What are the laws of forecasting and what are their implications for operations and supply chain managers?
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16
Qualitative forecasts are used when there is plenty of relevant data.
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17
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.
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18
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.
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19
Forecasts are almost always wrong.
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20
A firm's demand data from the last two quarter is displayed in the table.Use a three period moving average to forecast demand for July. <strong>A firm's demand data from the last two quarter is displayed in the table.Use a three period moving average to forecast demand for July.  </strong> A) 206 B) 217 C) 223 D) 226

A) 206
B) 217
C) 223
D) 226
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21
________ is unpredictable movement from one time period to the next.
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22
Two smoothing models that yield identical forecasts are exponential smoothing with an alpha equal to ________ and a moving average with n equal to ________.
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23
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.
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 6<sup>th</sup> period forecast of 135 as the starting point for the exponential smoothing technique.
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24
A firm's demand data from the last two quarter is displayed in the table.Use a three period weighted moving average with Wt = 0.7,Wt-1 = 0.2,and Wt-2 = 0.1 to forecast demand for July. <strong>A firm's demand data from the last two quarter is displayed in the table.Use a three period weighted moving average with W<sub>t </sub>= 0.7,W<sub>t-1 </sub>= 0.2,and W<sub>t-2 </sub>= 0.1 to forecast demand for July.  </strong> A) 235.2 B) 195.6 C) 158.8 D) 180.4

A) 235.2
B) 195.6
C) 158.8
D) 180.4
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25
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 8 using a smoothing constant of 0.7? <strong>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 8 using a smoothing constant of 0.7?  </strong> A) 61.10 B) 62.43 C) 59.90 D) 60.83

A) 61.10
B) 62.43
C) 59.90
D) 60.83
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26
A counseling service records the number of calls to their hotline for the last year.Plot the data and determine which forecasting technique would be best among a moving average,weighted moving average,exponential smoothing,and trend line.
A counseling service records the number of calls to their hotline for the last year.Plot the data and determine which forecasting technique would be best among a moving average,weighted moving average,exponential smoothing,and trend line.
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27
Dividing actual demand by the model's forecast yields an index that can be used to adjust for ________ in the data.
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28
Consider the data that generate this plot covering time months 1 to 50.What characteristic is most prominent in the pattern? <strong>Consider the data that generate this plot covering time months 1 to 50.What characteristic is most prominent in the pattern?  </strong> A) trend B) seasonality C) randomness D) none

A) trend
B) seasonality
C) randomness
D) none
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29
A counseling service records the number of calls to their hotline for the last year.What is the forecast for August if a regression equation is used to model this data? <strong>A counseling service records the number of calls to their hotline for the last year.What is the forecast for August if a regression equation is used to model this data?  </strong> A) 188.3 B) 179.9 C) 180.6 D) 175.7

A) 188.3
B) 179.9
C) 180.6
D) 175.7
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30
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. <strong>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.  </strong> A) 82.2 B) 84.9 C) 87.5 D) 91.6

A) 82.2
B) 84.9
C) 87.5
D) 91.6
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31
A counseling service records the number of calls to their hotline for the last year.What is the forecast for October if a weighted moving average with weights of 0.5,0.3,and 0.2 is used to model this data? <strong>A counseling service records the number of calls to their hotline for the last year.What is the forecast for October if a weighted moving average with weights of 0.5,0.3,and 0.2 is used to model this data?  </strong> A) 177.4 B) 185.7 C) 197.7 D) 190.3

A) 177.4
B) 185.7
C) 197.7
D) 190.3
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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? <strong>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?  </strong> A) )085 B) )196 C) )237 D) )348

A) )085
B) )196
C) )237
D) )348
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33
Using the data shown in the table,develop a regression 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?
Using the data shown in the table,develop a regression 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?
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34
A counseling service records the number of calls to their hotline for the last year.What is the forecast for August if the forecast for June was 164 and the service uses exponential smoothing with an alpha of 0.8? <strong>A counseling service records the number of calls to their hotline for the last year.What is the forecast for August if the forecast for June was 164 and the service uses exponential smoothing with an alpha of 0.8?  </strong> A) 164.80 B) 188.93 C) 180.67 D) 175.36

A) 164.80
B) 188.93
C) 180.67
D) 175.36
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35
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.
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. 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.
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36
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. 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.    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.
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37
A counseling service records the number of calls to their hotline for the last year.What is the forecast for March if an adjusted exponential smoothing model is used with α=0.8 and β=0.7? The unadjusted forecast for January is 123.5. <strong>A counseling service records the number of calls to their hotline for the last year.What is the forecast for March if an adjusted exponential smoothing model is used with α=0.8 and β=0.7? The unadjusted forecast for January is 123.5.  </strong> A) 135.44 B) 138.53 C) 132.76 D) 144.34

A) 135.44
B) 138.53
C) 132.76
D) 144.34
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38
The greater the randomness in the data,the ________ the value of the alpha should be in an exponential smoothing forecast.
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39
Two time series techniques that are appropriate when the data display a strong upward or downward trend are ________ and ________.
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40
A counseling service records the number of calls to their hotline for the last year.What is the forecast for July if the service uses a simple moving average of three periods? <strong>A counseling service records the number of calls to their hotline for the last year.What is the forecast for July if the service uses a simple moving average of three periods?  </strong> A) 169 B) 163 C) 157 D) 178

A) 169
B) 163
C) 157
D) 178
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41
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.After running a multiple regression model,he obtains the following report.What is the best interpretation of these statistics? Regression Statistics
<strong>A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.After running a multiple regression model,he obtains the following report.What is the best interpretation of these statistics? Regression Statistics  </strong> A) The probability that the number of eggs is correctly predicted by the amount of scratch, layer pellets, and water consumed is 99.36%. B) The prediction of the amount of eggs is 98.7% accurate based on the amount of scratch, layer pellets, and water consumed. C) 98.7% of the variability in egg production is explained by the amount of water, scratch, and layer pellets consumed. D) The prediction of the amount of eggs is 99.36% accurate based on the amount of scratch, layer pellets, and water consumed.

A) The probability that the number of eggs is correctly predicted by the amount of scratch, layer pellets, and water consumed is 99.36%.
B) The prediction of the amount of eggs is 98.7% accurate based on the amount of scratch, layer pellets, and water consumed.
C) 98.7% of the variability in egg production is explained by the amount of water, scratch, and layer pellets consumed.
D) The prediction of the amount of eggs is 99.36% accurate based on the amount of scratch, layer pellets, and water consumed.
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42
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.
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43
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? <strong>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?  </strong> A) Ricks = 50.6 - 0.93 × Temp B) Temp = 53.3 - 1.0 × Ricks C) Ricks = 0.93 - 50.6 × Temp D) Temp = 1.0 - 53.3 × Ricks

A) Ricks = 50.6 - 0.93 × Temp
B) Temp = 53.3 - 1.0 × Ricks
C) Ricks = 0.93 - 50.6 × Temp
D) Temp = 1.0 - 53.3 × Ricks
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44
Using the data in the table,first plot the data and comment on the appearance of the demand pattern.Then develop a forecast for periods 51-70 that fits the data.
Using the data in the table,first plot the data and comment on the appearance of the demand pattern.Then develop a forecast for periods 51-70 that fits the data.
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45
Multiple regression was used to forecast success in college (GPA)based upon SAT score,high school GPA,and hours spent on-line.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? Multiple regression was used to forecast success in college (GPA)based upon SAT score,high school GPA,and hours spent on-line.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?
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46
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.
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47
Which of these quantitative techniques is a causal model?

A) linear regression
B) last period
C) exponential smoothing
D) weighted moving average
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48
The forecast data matches the actual data perfectly if the mean absolute deviation is 0.0.
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49
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.After running a multiple regression model,he obtains the following report.What is the best interpretation of these statistics? <strong>A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.After running a multiple regression model,he obtains the following report.What is the best interpretation of these statistics?  </strong> A) For every egg produced, about 0.185 ounces of scratch must be consumed. B) The standard error for the model intercept is as large as the coefficient, thus the intercept is the most important predictor of egg production. C) Layer pellets are not good predictors of egg production because the p-value is 0. D) For every ounce of water consumed, the chickens produce 0.15 eggs, holding all other independent variables constant.

A) For every egg produced, about 0.185 ounces of scratch must be consumed.
B) The standard error for the model intercept is as large as the coefficient, thus the intercept is the most important predictor of egg production.
C) Layer pellets are not good predictors of egg production because the p-value is 0.
D) For every ounce of water consumed, the chickens produce 0.15 eggs, holding all other independent variables constant.
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50
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data? <strong>A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?  </strong> A) Eggs = 6.56 + .38Scratch + .17Pellets + .21Water B) Eggs = 1.25 + .18Scratch + .29Pellets + .15Water C) Eggs = 0.93 - .88Scratch + .37Pellets + .41Water D) Eggs = 4.22 + .37Scratch + .67Pellets + .58Water

A) Eggs = 6.56 + .38Scratch + .17Pellets + .21Water
B) Eggs = 1.25 + .18Scratch + .29Pellets + .15Water
C) Eggs = 0.93 - .88Scratch + .37Pellets + .41Water
D) Eggs = 4.22 + .37Scratch + .67Pellets + .58Water
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51
Multiple regression is used when the forecaster believes that more than one independent variable should be used to predict the variable of interest.
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52
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?   He develops one equation based on three predictors,the scratch,pellets,and water,and another equation based only on the layer pellet consumption.The output for the two models are shown side by side.Comment on the two models and which one should be used.  He develops one equation based on three predictors,the scratch,pellets,and water,and another equation based only on the layer pellet consumption.The output for the two models are shown side by side.Comment on the two models and which one should be used.
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?   He develops one equation based on three predictors,the scratch,pellets,and water,and another equation based only on the layer pellet consumption.The output for the two models are shown side by side.Comment on the two models and which one should be used.
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53
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.
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54
Models that predict demand based upon some independent factor(s)other than time are ________ forecasting models.
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55
A poultry farmer that dabbles in statistics is interested in exploring the relationship between layer pellets and the output of his laying hens.For ten days he records the number of ounces of layer pellets and the number of eggs that are produced.What is his regression equation based on the data? <strong>A poultry farmer that dabbles in statistics is interested in exploring the relationship between layer pellets and the output of his laying hens.For ten days he records the number of ounces of layer pellets and the number of eggs that are produced.What is his regression equation based on the data?  </strong> A) Eggs = 11.3 + 0.42Pellets B) Eggs = 1.25 + 0.29Pellets C) Eggs = 10.9 + 0.23Pellets D) Eggs = 4.22 + 0.67Pellets

A) Eggs = 11.3 + 0.42Pellets
B) Eggs = 1.25 + 0.29Pellets
C) Eggs = 10.9 + 0.23Pellets
D) Eggs = 4.22 + 0.67Pellets
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56
The tracking signal calculated for the first forecast is always either +1 or -1.
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57
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?
A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed,layer pellets and scratch,water,and the output of his laying hens.For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced.What is his regression equation based on the data?
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58
A model with a positive mean forecast error suggests that,on average,the model underforecasts.
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59
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
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60
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 negative tracking signal.
D) Nora has a positive tracking signal.
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61
In order to indicate ________ in a forecast model,you should use the mean forecast error approach rather than the mean absolute deviation approach.
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62
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.
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63
What distinguishes collaborative planning,forecasting,and replenishment (CPFR)systems from traditional planning approaches is the emphasis on forecasting.
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64
What is a collaborative planning,forecasting,and replenishment system and how might it benefit those who choose to use it?
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65
A counseling service records the number of calls to their hotline for the last year.Based on MAD,which of these models does the best job of forecasting? <strong>A counseling service records the number of calls to their hotline for the last year.Based on MAD,which of these models does the best job of forecasting?  </strong> A) A simple moving average of three periods B) A simple moving average of five periods C) A weighted moving average of .7, .2, .1 D) A weighted moving average of .5, .2, .2, .1

A) A simple moving average of three periods
B) A simple moving average of five periods
C) A weighted moving average of .7, .2, .1
D) A weighted moving average of .5, .2, .2, .1
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66
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?
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?
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67
A tracking signal value between ________ and ________ would suggest that the forecasting technique in use is appropriate.
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68
A collaborative planning,forecasting and replenishment system eliminates the need for forecasting.
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69
Which one 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) Studies have demonstrated that manual, paper-based CPFR systems are more responsive and more accurate than computer-based CPFR systems.
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Unlock for access to all 69 flashcards in this deck.