Question 1

Which of the following components is not present in a time series?

Accepted Answer

A) Secular trend 
B) Regular variation 
C) Cyclical variation 
D) Seasonal variation 
A) Secular trend 
B) Regular variation 
C) Cyclical variation 
D) Seasonal variation B

Question 2

The trend forecast equation is   = 100 + 120t. The next forecast is for period 8. The typical seasonal index for period 8 is 1.15. What are the forecast sales for period 8?

Accepted Answer

A) 1,060 
B) 1,219 
C) 960 
D) 1,075 
A) 1,060 
B) 1,219 
C) 960 
D) 1,075 B

Question 3

For the third quarter,the sales are 2,500 units; the seasonal index for the quarter is 1.20. What are the deseasonalized sales for the quarter?

Accepted Answer

A) 1,739 
B) 2,520 
C) 2,500 
D) 2,083 
A) 1,739 
B) 2,520 
C) 2,500 
D) 2,083 D

Question 4

For the third quarter,the sales are 1,500 units; the seasonal index for the quarter is 0.90. What are the deseasonalized sales for the quarter?

Accepted Answer

A) 0.10 
B) 90 
C) 1,400 
D) 1,667 
A) 0.10 
B) 90 
C) 1,400 
D) 1,667

Question 5

For the third quarter,the sales are 1,000 units; the seasonal index for the quarter is 0.85. What are the deseasonalized sales for the quarter?

Accepted Answer

A) 1,176 
B) 1,000 
C) 850 
D) 0.15 
A) 1,176 
B) 1,000 
C) 850 
D) 0.15

Question 6

The forecast for the third quarter is 2,000 units; the seasonal index for the quarter is 1.18. What are the seasonally adjusted sales for the quarter?

Accepted Answer

A) 2,000 
B) 2,018 
C) 2,118 
D) 2,360 
A) 2,000 
B) 2,018 
C) 2,118 
D) 2,360

Question 7

The following linear trend equation was developed for annual sales from 2005 to 2009,with 2005 as the base year.   = 500 + 60t (in thousand $). What are the estimated sales for 2010 (in thousand $)?

Accepted Answer

A) $500 
B) $860 
C) $1,040 
D) $1,100 
A) $500 
B) $860 
C) $1,040 
D) $1,100

Question 8

The preferred method used to smooth the trend in a time series is called a ________.

Accepted Answer

A) weighted moving average 
B) moving average 
C) linear trend 
D) deseasonalized adjustment 
A) weighted moving average 
B) moving average 
C) linear trend 
D) deseasonalized adjustment

Question 9

To calculate monthly typical seasonal indexes,a specific seasonal index must be computed for ________.

Accepted Answer

A) every month 
B) every year 
C) every quarter 
D) every day 
A) every month 
B) every year 
C) every quarter 
D) every day

Question 10

One component of a time series is cyclical variation. An example of cyclical variation is the business cycle that consists of periods of prosperity followed by periods of recession,depression,and recovery.

Accepted Answer

A) True 
 B)False

Question 11

The Durbin-Watson statistic is based on the ________.

Accepted Answer

A) differences between successive residuals in a time series 
B) differences between successive sales in a time series 
C) differences between typical sales indexes 
D) differences in time periods 
A) differences between successive residuals in a time series 
B) differences between successive sales in a time series 
C) differences between typical sales indexes 
D) differences in time periods

Question 12

Knowing the seasonal pattern in the form of indexes allows the retailer to deseasonalize sales. This is accomplished by dividing the actual sales for a month by the seasonal index for that month.

Accepted Answer

A) True 
 B)False

Question 13

When estimating the specific seasonals for a monthly time series,the sum of the 12 modified means should theoretically be equal to 12.00 because the average of the 12 specific seasonals is designated as 1.00.

Accepted Answer

A) True 
 B)False

Question 14

For a five-year moving average,how many values will be lost at the beginning and end of the time series?

Accepted Answer

A) Zero at the start and four at the end 
B) Three at the start and three at the end 
C) Two at the start and two at the end 
D) Zero at the start and five at the end 
A) Zero at the start and four at the end 
B) Three at the start and three at the end 
C) Two at the start and two at the end 
D) Zero at the start and five at the end

Question 15

In a linear trend equation,t is a coded value that corresponds with a time period in a time series.

Accepted Answer

A) True 
 B)False

Question 16

A logarithmic trend equation should be used when the time-series trend is ________.

Accepted Answer

A) changing in equal amounts 
B) increasing by equal percentages 
C) increasing in equal amounts 
D) increasing or decreasing by equal percentages 
A) changing in equal amounts 
B) increasing by equal percentages 
C) increasing in equal amounts 
D) increasing or decreasing by equal percentages

Question 17

The forecast for the third quarter is 3,000 units; the seasonal index for the quarter is 1.05. What are the seasonally adjusted sales for the quarter?

Accepted Answer

A) 3,000 
B) 3,005 
C) 3,150 
D) 2,360 
A) 3,000 
B) 3,005 
C) 3,150 
D) 2,360

Question 18

The trend forecast equation is   = 100 + 120t. The next forecast is for period 11. The typical seasonal index for period 11 is 1.25. What are the forecast sales for period 11?

Accepted Answer

A) 1,420 
B) 1,775 
C) 1,320 
D) 1,075 
A) 1,420 
B) 1,775 
C) 1,320 
D) 1,075

Question 19

What is a in the least squares trend equation?

Accepted Answer

A) The intercept 
B) The slope 
C) The forecast 
D) The time period 
A) The intercept 
B) The slope 
C) The forecast 
D) The time period

Question 20

In a time series,high sales in the summer and low sales in the winter is called ________.

Accepted Answer

A) secular trend 
B) seasonal variation 
C) cyclical variation 
D) variation 
A) secular trend 
B) seasonal variation 
C) cyclical variation 
D) variation

Which of the following components is not present in a time series?

The trend forecast equation is = 100 + 120t. The next forecast is for period 8. The typical seasonal index for period 8 is 1.15. What are the forecast sales for period 8?

For the third quarter,the sales are 2,500 units; the seasonal index for the quarter is 1.20. What are the deseasonalized sales for the quarter?

For the third quarter,the sales are 1,500 units; the seasonal index for the quarter is 0.90. What are the deseasonalized sales for the quarter?

For the third quarter,the sales are 1,000 units; the seasonal index for the quarter is 0.85. What are the deseasonalized sales for the quarter?

The forecast for the third quarter is 2,000 units; the seasonal index for the quarter is 1.18. What are the seasonally adjusted sales for the quarter?

The following linear trend equation was developed for annual sales from 2005 to 2009,with 2005 as the base year. = 500 + 60t (in thousand $). What are the estimated sales for 2010 (in thousand $)?

The preferred method used to smooth the trend in a time series is called a ________.

To calculate monthly typical seasonal indexes,a specific seasonal index must be computed for ________.

One component of a time series is cyclical variation. An example of cyclical variation is the business cycle that consists of periods of prosperity followed by periods of recession,depression,and recovery.

The Durbin-Watson statistic is based on the ________.

Knowing the seasonal pattern in the form of indexes allows the retailer to deseasonalize sales. This is accomplished by dividing the actual sales for a month by the seasonal index for that month.

When estimating the specific seasonals for a monthly time series,the sum of the 12 modified means should theoretically be equal to 12.00 because the average of the 12 specific seasonals is designated as 1.00.

For a five-year moving average,how many values will be lost at the beginning and end of the time series?

In a linear trend equation,t is a coded value that corresponds with a time period in a time series.

A logarithmic trend equation should be used when the time-series trend is ________.

The forecast for the third quarter is 3,000 units; the seasonal index for the quarter is 1.05. What are the seasonally adjusted sales for the quarter?

The trend forecast equation is = 100 + 120t. The next forecast is for period 11. The typical seasonal index for period 11 is 1.25. What are the forecast sales for period 11?

What is a in the least squares trend equation?

In a time series,high sales in the summer and low sales in the winter is called ________.

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Multiple Regression Analysis

Nonparametric Methods: Nominal Level Hypothesis Tests

Nonparametric Methods: Analysis of Ordinal Data

Index Numbers

Statistical Process Control and Quality Management

An Introduction to Decision Theory

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Exam 18: Time Series and Forecasting

Which of the following components is not present in a time series?

The trend forecast equation is = 100 + 120t. The next forecast is for period 8. The typical seasonal index for period 8 is 1.15. What are the forecast sales for period 8?

For the third quarter,the sales are 2,500 units; the seasonal index for the quarter is 1.20. What are the deseasonalized sales for the quarter?

For the third quarter,the sales are 1,500 units; the seasonal index for the quarter is 0.90. What are the deseasonalized sales for the quarter?

For the third quarter,the sales are 1,000 units; the seasonal index for the quarter is 0.85. What are the deseasonalized sales for the quarter?

The forecast for the third quarter is 2,000 units; the seasonal index for the quarter is 1.18. What are the seasonally adjusted sales for the quarter?

The following linear trend equation was developed for annual sales from 2005 to 2009,with 2005 as the base year. = 500 + 60t (in thousand $). What are the estimated sales for 2010 (in thousand $)?

The preferred method used to smooth the trend in a time series is called a ________.

To calculate monthly typical seasonal indexes,a specific seasonal index must be computed for ________.

One component of a time series is cyclical variation. An example of cyclical variation is the business cycle that consists of periods of prosperity followed by periods of recession,depression,and recovery.

The Durbin-Watson statistic is based on the ________.

Knowing the seasonal pattern in the form of indexes allows the retailer to deseasonalize sales. This is accomplished by dividing the actual sales for a month by the seasonal index for that month.

When estimating the specific seasonals for a monthly time series,the sum of the 12 modified means should theoretically be equal to 12.00 because the average of the 12 specific seasonals is designated as 1.00.

For a five-year moving average,how many values will be lost at the beginning and end of the time series?

In a linear trend equation,t is a coded value that corresponds with a time period in a time series.

A logarithmic trend equation should be used when the time-series trend is ________.

The forecast for the third quarter is 3,000 units; the seasonal index for the quarter is 1.05. What are the seasonally adjusted sales for the quarter?

The trend forecast equation is = 100 + 120t. The next forecast is for period 11. The typical seasonal index for period 11 is 1.25. What are the forecast sales for period 11?

What is a in the least squares trend equation?

In a time series,high sales in the summer and low sales in the winter is called ________.

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Multiple Regression Analysis

Nonparametric Methods: Nominal Level Hypothesis Tests

Nonparametric Methods: Analysis of Ordinal Data

Index Numbers

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters