Question 1

To calculate monthly typical seasonal indexes, how many periods are included in the ratio-to-moving-average method?

Accepted Answer

A)  2 
B)  4 
C)  6 
D)  12 
A)  2 
B)  4 
C)  6 
D)  12

Question 2

The Durbin-Watson statistic is used to analyze ___________.

Accepted Answer

A)  multicollinearity 
B)  homoscedasticity 
C)  autocorrelation 
D)  variance inflation 
A)  multicollinearity 
B)  homoscedasticity 
C)  autocorrelation 
D)  variance inflation

Question 3

For a straight trend line, ______________ represents the amount of change in Ŷ for each increase of one unit in t.

Accepted Answer

the slope

Question 4

For an annual time series extending from 2000 through 2010, how many years would be lost in a three-year moving average?

Accepted Answer

A)  Two at the start and one at the end 
B)  One at the start and one at the end 
C)  Two at the start and zero at the end 
D)  Zero at the start and two at the end 
A)  Two at the start and one at the end 
B)  One at the start and one at the end 
C)  Two at the start and zero at the end 
D)  Zero at the start and two at the end

Question 5

The merchants in Dallas, Texas, suffered flood damage in May 2003. Stores were closed for remodeling nearly two months. What is this type of variation in sales called?

Accepted Answer

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

Question 6

To calculate monthly typical seasonal indexes, after computing the ratio-to-moving averages, the averages must be:

Accepted Answer

A)  divided by 12. 
B)  multiplied by 12. 
C)  summed and divided by 12. 
D)  centereD. 
A)  divided by 12. 
B)  multiplied by 12. 
C)  summed and divided by 12. 
D)  centereD.

Question 7

A useful method for smoothing a time series to examine a trend is called a ______.

Accepted Answer

The answer of A useful method for smoothing a time...

Question 8

A _____________ transformation should be used for a time series that increases by equal percentages over time.

Accepted Answer

The answer of A _____________ transformation should be used for...

Question 9

How can you describe the moving average method?

Accepted Answer

A)  A method that smoothes out a time series. 
B)  A method to deseasonalize a time series. 
C)  A technique that results in a trend line equation. 
D)  A method for computing the slope of a trend line. 
A)  A method that smoothes out a time series. 
B)  A method to deseasonalize a time series. 
C)  A technique that results in a trend line equation. 
D)  A method for computing the slope of a trend line.

Question 10

Product sales since 1999 are:   The least squares trend equation is given as:
Ŷ = 265.12 - 21.18t, where t is set equal to 1 for 1999.
On average, how much did sales change per year from 1999 to 2007?

Accepted Answer

-21.18
Explanation: The slope of the lin

Question 11

What is the general equation for the logarithmic trend equation to forecast Ŷ?

Accepted Answer

A)  log a + log b(t) 
B)  log at log b(t) 
C)  at b(t) 
D)  ab(t) 
A)  log a + log b(t) 
B)  log at log b(t) 
C)  at b(t) 
D)  ab(t)

Question 12

What is the logarithmic transformation for the equation Ŷ = a + bt?

Accepted Answer

A)  log a = S log Ŷ/n 
B)  log Ŷ = log a + log b(t) 
C)  log b = S(X log) Ŷ/t2 
D)  Ŷ = abt 
A)  log a = S log Ŷ/n 
B)  log Ŷ = log a + log b(t) 
C)  log b = S(X log) Ŷ/t2 
D)  Ŷ = abt

Question 13

The following table shows the sales for a resort hotel recorded over the past year. The seasonal indexes for each quarter are also provided. To track the trend for these four quarters, use the indexes to deseasonalize the sales data.

Accepted Answer

Overall, sales are __________.

Question 14

For the third quarter, the sales are 1,500 units; the seasonal index for the quarter is 1.15. What are the deseasonalized sales for the quarter?

Accepted Answer

A)  115% 
B)  15% 
C)  1,304 
D)  1,500 
A)  115% 
B)  15% 
C)  1,304 
D)  1,500

Question 15

A graph of a deseasonalized time series does NOT show ________.

Accepted Answer

The answer of A graph of a deseasonalized time series...

Question 16

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

Question 17

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 18

Since a ski resort does most of its business in the winter, what is the major source of variation that affects sales?

Accepted Answer

A)  Secular trend 
B)  Seasonal variation 
C)  Cyclical effect 
D)  Episodic effects 
A)  Secular trend 
B)  Seasonal variation 
C)  Cyclical effect 
D)  Episodic effects

Question 19

For the third quarter, the sales are 2,000 units; the seasonal index for the quarter is 1.15. What are the deseasonalized sales for the quarter?

Accepted Answer

A)  1,739 
B)  2,015 
C)  2,115 
D)  115 
A)  1,739 
B)  2,015 
C)  2,115 
D)  115

Question 20

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

Accepted Answer

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

To calculate monthly typical seasonal indexes, how many periods are included in the ratio-to-moving-average method?

The Durbin-Watson statistic is used to analyze ___________.

For a straight trend line, ______________ represents the amount of change in Ŷ for each increase of one unit in t.

For an annual time series extending from 2000 through 2010, how many years would be lost in a three-year moving average?

The merchants in Dallas, Texas, suffered flood damage in May 2003. Stores were closed for remodeling nearly two months. What is this type of variation in sales called?

To calculate monthly typical seasonal indexes, after computing the ratio-to-moving averages, the averages must be:

A useful method for smoothing a time series to examine a trend is called a ______.

A _____________ transformation should be used for a time series that increases by equal percentages over time.

How can you describe the moving average method?

Product sales since 1999 are: The least squares trend equation is given as: Ŷ = 265.12 - 21.18t, where t is set equal to 1 for 1999. On average, how much did sales change per year from 1999 to 2007?

What is the general equation for the logarithmic trend equation to forecast Ŷ?

What is the logarithmic transformation for the equation Ŷ = a + bt?

The following table shows the sales for a resort hotel recorded over the past year. The seasonal indexes for each quarter are also provided. To track the trend for these four quarters, use the indexes to deseasonalize the sales data.

For the third quarter, the sales are 1,500 units; the seasonal index for the quarter is 1.15. What are the deseasonalized sales for the quarter?

A graph of a deseasonalized time series does NOT show ________.

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

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

Since a ski resort does most of its business in the winter, what is the major source of variation that affects sales?

For the third quarter, the sales are 2,000 units; the seasonal index for the quarter is 1.15. What are the deseasonalized sales for the quarter?

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

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

Exam 18: Time Series and Forecasting

To calculate monthly typical seasonal indexes, how many periods are included in the ratio-to-moving-average method?

The Durbin-Watson statistic is used to analyze ___________.

For a straight trend line, ______________ represents the amount of change in Ŷ for each increase of one unit in t.

For an annual time series extending from 2000 through 2010, how many years would be lost in a three-year moving average?

The merchants in Dallas, Texas, suffered flood damage in May 2003. Stores were closed for remodeling nearly two months. What is this type of variation in sales called?

To calculate monthly typical seasonal indexes, after computing the ratio-to-moving averages, the averages must be:

A useful method for smoothing a time series to examine a trend is called a ______.

A _____________ transformation should be used for a time series that increases by equal percentages over time.

How can you describe the moving average method?

Product sales since 1999 are: The least squares trend equation is given as: Ŷ = 265.12 - 21.18t, where t is set equal to 1 for 1999. On average, how much did sales change per year from 1999 to 2007?

What is the general equation for the logarithmic trend equation to forecast Ŷ?

What is the logarithmic transformation for the equation Ŷ = a + bt?

The following table shows the sales for a resort hotel recorded over the past year. The seasonal indexes for each quarter are also provided. To track the trend for these four quarters, use the indexes to deseasonalize the sales data.

For the third quarter, the sales are 1,500 units; the seasonal index for the quarter is 1.15. What are the deseasonalized sales for the quarter?

A graph of a deseasonalized time series does NOT show ________.

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

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

Since a ski resort does most of its business in the winter, what is the major source of variation that affects sales?

For the third quarter, the sales are 2,000 units; the seasonal index for the quarter is 1.15. What are the deseasonalized sales for the quarter?

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

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