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Which one of the following statements about forecasting is FALSE?


A) Causal methods of forecasting use historical data on independent variables (promotional campaigns,competitors' actions,etc. ) to predict demand.
B) Three general types of forecasting techniques are used for demand forecasting: time-series analysis,causal methods,and judgment methods.
C) Time series express the relationship between the factor to be forecast and related factors such as promotional campaigns,economic conditions,and competitor actions.
D) A time series is a list of repeated observations of a phenomenon,such as demand,arranged in the order in which they actually occurred.

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Table 14.6 Table 14.6   -Use the information in Table 14.6.Calculate the exponential smoothing forecast for week 5 using α= 0.10 and F4 = 410. A) fewer than or equal to 400 B) greater than 400 but fewer than or equal to 408 C) greater than 408 but fewer than or equal to 416 D) greater than 416 -Use the information in Table 14.6.Calculate the exponential smoothing forecast for week 5 using α= 0.10 and F4 = 410.


A) fewer than or equal to 400
B) greater than 400 but fewer than or equal to 408
C) greater than 408 but fewer than or equal to 416
D) greater than 416

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________ is the difference found by subtracting the forecast from actual demand for a given period.

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Table 14.10 TOMBOW is a small manufacturer of pencils and has had the following sales record for the most recent five months: Table 14.10 TOMBOW is a small manufacturer of pencils and has had the following sales record for the most recent five months:   Use an exponential smoothing model to forecast sales in months 2,3,4,and 5.Let the smoothing parameter equal 0.6;select F1 = 150 to get the forecast started. -Use the information in Table 14.10.What is the MAD for months 2 through 5? A) less than or equal to 20 B) greater than 20 but less than or equal to 25 C) greater than 25 but less than or equal to 30 D) greater than 30 Use an exponential smoothing model to forecast sales in months 2,3,4,and 5.Let the smoothing parameter equal 0.6;select F1 = 150 to get the forecast started. -Use the information in Table 14.10.What is the MAD for months 2 through 5?


A) less than or equal to 20
B) greater than 20 but less than or equal to 25
C) greater than 25 but less than or equal to 30
D) greater than 30

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The trend projection with regression model is highly adaptive.

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Table 14.7 Table 14.7   -Use the information in Table 14.7.Use the three-month moving-average method to forecast sales for June. A) fewer than or equal to 20 units B) greater than 20 but fewer than or equal to 22 units C) greater than 22 but fewer than or equal to 24 units D) greater than 24 units -Use the information in Table 14.7.Use the three-month moving-average method to forecast sales for June.


A) fewer than or equal to 20 units
B) greater than 20 but fewer than or equal to 22 units
C) greater than 22 but fewer than or equal to 24 units
D) greater than 24 units

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Which word best describes forecasting?


A) quantitative
B) process
C) resource
D) managerial

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Table 14.4 The Furniture Super Mart is a furniture retailer in Evansville,Indiana.The Marketing Manager wants to prepare a media budget based on the next quarter's business plan.The manager wants to decide the mix of radio advertising and newspaper advertising needed to generate varying levels of Weekly Gross Revenue.The manager has collected data for the past five weeks,and has recorded the following average Weekly Gross Revenues and expenditures for Weekly Radio (X1) and Newspaper (X2) advertising: Table 14.4 The Furniture Super Mart is a furniture retailer in Evansville,Indiana.The Marketing Manager wants to prepare a media budget based on the next quarter's business plan.The manager wants to decide the mix of radio advertising and newspaper advertising needed to generate varying levels of Weekly Gross Revenue.The manager has collected data for the past five weeks,and has recorded the following average Weekly Gross Revenues and expenditures for Weekly Radio (X1) and Newspaper (X2) advertising:    The Manager uses the multiple regression model in OM Explorer and obtains the following results:   -Use the information provided in Table 14.4.What is the estimated Weekly Gross Revenue if $7,000 is spent on Radio Advertising (X1) and $4,000 is spent on Newspaper Advertising (X2) ? A) $45,500 B) $15,000 C) $60,500 D) $81,000 The Manager uses the multiple regression model in OM Explorer and obtains the following results: Table 14.4 The Furniture Super Mart is a furniture retailer in Evansville,Indiana.The Marketing Manager wants to prepare a media budget based on the next quarter's business plan.The manager wants to decide the mix of radio advertising and newspaper advertising needed to generate varying levels of Weekly Gross Revenue.The manager has collected data for the past five weeks,and has recorded the following average Weekly Gross Revenues and expenditures for Weekly Radio (X1) and Newspaper (X2) advertising:    The Manager uses the multiple regression model in OM Explorer and obtains the following results:   -Use the information provided in Table 14.4.What is the estimated Weekly Gross Revenue if $7,000 is spent on Radio Advertising (X1) and $4,000 is spent on Newspaper Advertising (X2) ? A) $45,500 B) $15,000 C) $60,500 D) $81,000 -Use the information provided in Table 14.4.What is the estimated Weekly Gross Revenue if $7,000 is spent on Radio Advertising (X1) and $4,000 is spent on Newspaper Advertising (X2) ?


A) $45,500
B) $15,000
C) $60,500
D) $81,000

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Table 14.12 The management of an insurance company monitors the number of mistakes made by telephone service representatives for a company they have subcontracted with.The number of mistakes for the past several months appears in this table along with forecasts for errors made with three different forecasting techniques.The column labeled Exponential was created using exponential smoothing with an alpha of 0.30.The column labeled MA is forecast using a moving average of three periods.The column labeled WMA uses a 3-month weighted moving average with weights of 0.65,0.25,and 0.10 for the most-to-least recent months. Table 14.12 The management of an insurance company monitors the number of mistakes made by telephone service representatives for a company they have subcontracted with.The number of mistakes for the past several months appears in this table along with forecasts for errors made with three different forecasting techniques.The column labeled Exponential was created using exponential smoothing with an alpha of 0.30.The column labeled MA is forecast using a moving average of three periods.The column labeled WMA uses a 3-month weighted moving average with weights of 0.65,0.25,and 0.10 for the most-to-least recent months.    -Using Table 14.12,what is the mean absolute percent error for months 6-10 using the exponential smoothing forecasts? A) less than 22% B) greater than or equal to 22% but less than 24% C) greater than or equal to 24% but less than 26% D) greater than 26% -Using Table 14.12,what is the mean absolute percent error for months 6-10 using the exponential smoothing forecasts?


A) less than 22%
B) greater than or equal to 22% but less than 24%
C) greater than or equal to 24% but less than 26%
D) greater than 26%

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Better forecasting processes yield better forecasts.

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Why are forecasts for product families typically more accurate than forecasts for the individual items within a product family?

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More accurate forecasts are ob...

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Aggregation is the act of clustering several similar products or services.

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Table 14.12 The management of an insurance company monitors the number of mistakes made by telephone service representatives for a company they have subcontracted with.The number of mistakes for the past several months appears in this table along with forecasts for errors made with three different forecasting techniques.The column labeled Exponential was created using exponential smoothing with an alpha of 0.30.The column labeled MA is forecast using a moving average of three periods.The column labeled WMA uses a 3-month weighted moving average with weights of 0.65,0.25,and 0.10 for the most-to-least recent months. Table 14.12 The management of an insurance company monitors the number of mistakes made by telephone service representatives for a company they have subcontracted with.The number of mistakes for the past several months appears in this table along with forecasts for errors made with three different forecasting techniques.The column labeled Exponential was created using exponential smoothing with an alpha of 0.30.The column labeled MA is forecast using a moving average of three periods.The column labeled WMA uses a 3-month weighted moving average with weights of 0.65,0.25,and 0.10 for the most-to-least recent months.    -Using Table 14.12,what is the order of the forecasting techniques from most accurate to least accurate based on their errors for months 6-10? A) exponential smoothing,weighted moving average,moving average B) exponential smoothing,moving average,weighted moving average C) moving average,exponential smoothing,weighted moving average D) weighted moving average,moving average,exponential smoothing -Using Table 14.12,what is the order of the forecasting techniques from most accurate to least accurate based on their errors for months 6-10?


A) exponential smoothing,weighted moving average,moving average
B) exponential smoothing,moving average,weighted moving average
C) moving average,exponential smoothing,weighted moving average
D) weighted moving average,moving average,exponential smoothing

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Table 14.2 A textbook publisher for books used in business schools believes that the number of books sold is related to the number of campus visits to decision makers made by their sales force.A sampling of the number of sales calls made and the number of books sold is shown in the following table. Table 14.2 A textbook publisher for books used in business schools believes that the number of books sold is related to the number of campus visits to decision makers made by their sales force.A sampling of the number of sales calls made and the number of books sold is shown in the following table.      -Use the information provided in Table 14.2.If a sales representative makes 55 sales calls,the number of book sales the publisher should expect is: A) 105. B) 4,581. C) 114. D) 915. Table 14.2 A textbook publisher for books used in business schools believes that the number of books sold is related to the number of campus visits to decision makers made by their sales force.A sampling of the number of sales calls made and the number of books sold is shown in the following table.      -Use the information provided in Table 14.2.If a sales representative makes 55 sales calls,the number of book sales the publisher should expect is: A) 105. B) 4,581. C) 114. D) 915. -Use the information provided in Table 14.2.If a sales representative makes 55 sales calls,the number of book sales the publisher should expect is:


A) 105.
B) 4,581.
C) 114.
D) 915.

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Table 14.4 The Furniture Super Mart is a furniture retailer in Evansville,Indiana.The Marketing Manager wants to prepare a media budget based on the next quarter's business plan.The manager wants to decide the mix of radio advertising and newspaper advertising needed to generate varying levels of Weekly Gross Revenue.The manager has collected data for the past five weeks,and has recorded the following average Weekly Gross Revenues and expenditures for Weekly Radio (X1) and Newspaper (X2) advertising: Table 14.4 The Furniture Super Mart is a furniture retailer in Evansville,Indiana.The Marketing Manager wants to prepare a media budget based on the next quarter's business plan.The manager wants to decide the mix of radio advertising and newspaper advertising needed to generate varying levels of Weekly Gross Revenue.The manager has collected data for the past five weeks,and has recorded the following average Weekly Gross Revenues and expenditures for Weekly Radio (X1) and Newspaper (X2) advertising:    The Manager uses the multiple regression model in OM Explorer and obtains the following results:   -Use the information provided in Table 14.4.Adding $1,000 of Weekly Newspaper Advertising (X2) can be expected to increase Weekly Gross Revenues by what amount? (Assume all other variables are held constant. )  A) $20,500 B) $3,750 C) $6,500 D) $10,250 The Manager uses the multiple regression model in OM Explorer and obtains the following results: Table 14.4 The Furniture Super Mart is a furniture retailer in Evansville,Indiana.The Marketing Manager wants to prepare a media budget based on the next quarter's business plan.The manager wants to decide the mix of radio advertising and newspaper advertising needed to generate varying levels of Weekly Gross Revenue.The manager has collected data for the past five weeks,and has recorded the following average Weekly Gross Revenues and expenditures for Weekly Radio (X1) and Newspaper (X2) advertising:    The Manager uses the multiple regression model in OM Explorer and obtains the following results:   -Use the information provided in Table 14.4.Adding $1,000 of Weekly Newspaper Advertising (X2) can be expected to increase Weekly Gross Revenues by what amount? (Assume all other variables are held constant. )  A) $20,500 B) $3,750 C) $6,500 D) $10,250 -Use the information provided in Table 14.4.Adding $1,000 of Weekly Newspaper Advertising (X2) can be expected to increase Weekly Gross Revenues by what amount? (Assume all other variables are held constant. )


A) $20,500
B) $3,750
C) $6,500
D) $10,250

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Using salesforce estimates for forecasting has the advantage that:


A) no biases exist in the forecasts.
B) statistical estimates of seasonal factors are more precise than any other approach.
C) forecasts of individual sales force members can be easily combined to get regional or national sales totals.
D) confusion between customer "wants" (wish list) and customer "needs" (necessary purchases) is eliminated.

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Table 14.12 The management of an insurance company monitors the number of mistakes made by telephone service representatives for a company they have subcontracted with.The number of mistakes for the past several months appears in this table along with forecasts for errors made with three different forecasting techniques.The column labeled Exponential was created using exponential smoothing with an alpha of 0.30.The column labeled MA is forecast using a moving average of three periods.The column labeled WMA uses a 3-month weighted moving average with weights of 0.65,0.25,and 0.10 for the most-to-least recent months. Table 14.12 The management of an insurance company monitors the number of mistakes made by telephone service representatives for a company they have subcontracted with.The number of mistakes for the past several months appears in this table along with forecasts for errors made with three different forecasting techniques.The column labeled Exponential was created using exponential smoothing with an alpha of 0.30.The column labeled MA is forecast using a moving average of three periods.The column labeled WMA uses a 3-month weighted moving average with weights of 0.65,0.25,and 0.10 for the most-to-least recent months.    -Using Table 14.12,what is the tracking signal for months 6-10 using the exponential smoothing forecasts? A) 0.5 B) -0.5 C) 5.0 D) -5.0 -Using Table 14.12,what is the tracking signal for months 6-10 using the exponential smoothing forecasts?


A) 0.5
B) -0.5
C) 5.0
D) -5.0

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Table 14.4 The Furniture Super Mart is a furniture retailer in Evansville,Indiana.The Marketing Manager wants to prepare a media budget based on the next quarter's business plan.The manager wants to decide the mix of radio advertising and newspaper advertising needed to generate varying levels of Weekly Gross Revenue.The manager has collected data for the past five weeks,and has recorded the following average Weekly Gross Revenues and expenditures for Weekly Radio (X1) and Newspaper (X2) advertising: Table 14.4 The Furniture Super Mart is a furniture retailer in Evansville,Indiana.The Marketing Manager wants to prepare a media budget based on the next quarter's business plan.The manager wants to decide the mix of radio advertising and newspaper advertising needed to generate varying levels of Weekly Gross Revenue.The manager has collected data for the past five weeks,and has recorded the following average Weekly Gross Revenues and expenditures for Weekly Radio (X1) and Newspaper (X2) advertising:    The Manager uses the multiple regression model in OM Explorer and obtains the following results:   -Use the information provided in Table 14.4.What amount of Weekly Gross Revenue can be expected for a week in which no radio or newspaper advertising is purchased? (Assume all other variables are held constant. )  A) $20,500 B) $3,750 C) $6,500 D) $10,250 The Manager uses the multiple regression model in OM Explorer and obtains the following results: Table 14.4 The Furniture Super Mart is a furniture retailer in Evansville,Indiana.The Marketing Manager wants to prepare a media budget based on the next quarter's business plan.The manager wants to decide the mix of radio advertising and newspaper advertising needed to generate varying levels of Weekly Gross Revenue.The manager has collected data for the past five weeks,and has recorded the following average Weekly Gross Revenues and expenditures for Weekly Radio (X1) and Newspaper (X2) advertising:    The Manager uses the multiple regression model in OM Explorer and obtains the following results:   -Use the information provided in Table 14.4.What amount of Weekly Gross Revenue can be expected for a week in which no radio or newspaper advertising is purchased? (Assume all other variables are held constant. )  A) $20,500 B) $3,750 C) $6,500 D) $10,250 -Use the information provided in Table 14.4.What amount of Weekly Gross Revenue can be expected for a week in which no radio or newspaper advertising is purchased? (Assume all other variables are held constant. )


A) $20,500
B) $3,750
C) $6,500
D) $10,250

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________ analysis is a statistical approach that relies heavily on historical demand data to project the future size of demand,and it recognizes trends and seasonal patterns.

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Table 14.11 A sales manager wants to forecast monthly sales of the machines the company makes using the following monthly sales data. Table 14.11 A sales manager wants to forecast monthly sales of the machines the company makes using the following monthly sales data.    -Use the information in Table 14.11.Forecast the monthly sales of the machine for month 9,using the three-month moving-average method. A) $3,728 B) $4,085 C) $3,880 D) $3,277 -Use the information in Table 14.11.Forecast the monthly sales of the machine for month 9,using the three-month moving-average method.


A) $3,728
B) $4,085
C) $3,880
D) $3,277

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