Question 1

After estimating a trend model for annual time-series data, you obtain the following residual
Plot against time, the problem with your model is that

Accepted Answer

A)  the cyclical component has not been accounted for. 
B)  the seasonal component has not been accounted for. 
C)  the trend component has not been accounted for. 
D)  the irregular component has not been accounted for.
  
A)  the cyclical component has not been accounted for. 
B)  the seasonal component has not been accounted for. 
C)  the trend component has not been accounted for. 
D)  the irregular component has not been accounted for.
  C

Question 2

SCENARIO 16-14  
-Referring to Scenario 16-14, using the regression equation, which of the following values
Is the best forecast for the number of contracts in the second quarter of 2015?

Accepted Answer

A)  144,212 
B)  391,742 
C)  1,238,797 
D)  4,355,119 
A)  144,212 
B)  391,742 
C)  1,238,797 
D)  4,355,119 D

Question 3

True or False: The method of least squares may be used to estimate both linear and
curvilinear trends.

Accepted Answer

A) True 
 B)False  True

Question 4

The cyclical component of a time series

Accepted Answer

A)  represents periodic fluctuations which reoccur within 1 year. 
B)  represents periodic fluctuations which usually occur in 2 or more years. 
C)  is obtained by adjusting for the seasonal variation. 
D)  is obtained by adjusting for calendar variation. 
A)  represents periodic fluctuations which reoccur within 1 year. 
B)  represents periodic fluctuations which usually occur in 2 or more years. 
C)  is obtained by adjusting for the seasonal variation. 
D)  is obtained by adjusting for calendar variation.

Question 5

True or False: Given a data set with 15 yearly observations, there are only thirteen 3-year
moving averages.

Accepted Answer

A) True 
 B)False

Question 6

Which of the following statements about the method of exponential smoothing is not true?

Accepted Answer

A)  It gives greater weight to more recent data. 
B)  It can be used for forecasting. 
C)  It uses all earlier observations in each smoothing calculation. 
D)  It gives greater weight to the earlier observations in the series. 
A)  It gives greater weight to more recent data. 
B)  It can be used for forecasting. 
C)  It uses all earlier observations in each smoothing calculation. 
D)  It gives greater weight to the earlier observations in the series.

Question 7

SCENARIO 16-3  
-Referring to Scenario 16-3, if a three-month moving average is used to smooth this series,
What would be the last calculated value?

Accepted Answer

A)  72 
B)  93 
C)  114 
D)  126 
A)  72 
B)  93 
C)  114 
D)  126

Question 8

Which of the following terms describes the up and down movements of a time series that
Vary both in length and intensity?

Accepted Answer

A)  Trend 
B)  Cyclical component 
C)  Irregular component 
D)  Seasonal component 
A)  Trend 
B)  Cyclical component 
C)  Irregular component 
D)  Seasonal component

Question 9

True or False: A trend is a persistent pattern in annual time-series data that has to be
followed for several years.

Accepted Answer

A) True 
 B)False

Question 10

Based on the following scatter plot, which of the time-series components is not present in
This quarterly time series?

Accepted Answer

A) Trend 
B) Seasonal 
C) Cyclical 
D) Irregular 
A) Trend 
B) Seasonal 
C) Cyclical 
D) Irregular

Question 11

The fairly regular fluctuations that occur within each year would be contained in the
_________________ component.

Accepted Answer

A)  trend 
B)  cyclical 
C)  irregular 
D)  seasonal 
A)  trend 
B)  cyclical 
C)  irregular 
D)  seasonal

Question 12

After estimating a trend model for annual time-series data, you obtain the following residual
Plot against time, the problem with your model is that:

Accepted Answer

A)  The cyclical component has not been accounted for. 
B)  The seasonal component has not been accounted for. 
C)  The trend component has not been accounted for. 
D)  The irregular component has not been accounted for.
  
A)  The cyclical component has not been accounted for. 
B)  The seasonal component has not been accounted for. 
C)  The trend component has not been accounted for. 
D)  The irregular component has not been accounted for.

Question 13

True or False: A least squares linear trend line is just a simple regression line with the years
recoded.

Accepted Answer

A) True 
 B)False

Question 14

Accepted Answer

The answer of  ...

Question 15

The method of least squares is used on time-series data for

Accepted Answer

A)  eliminating irregular movements. 
B)  deseasonalizing the data. 
C)  obtaining the trend equation. 
D)  exponentially smoothing a series. 
A)  eliminating irregular movements. 
B)  deseasonalizing the data. 
C)  obtaining the trend equation. 
D)  exponentially smoothing a series.

Question 16

True or False: In selecting a forecasting model, you should perform a residual analysis.

Accepted Answer

A) True 
 B)False

Question 17

True or False: MAD is the summation of the residuals divided by the sample size.

Accepted Answer

A) True 
 B)False

Question 18

SCENARIO 16-3  
-Referring to Scenario 16-3, suppose the last two smoothed values are 81 and 96 (Note: they
Are not).What would you forecast as the value of the time series for September?

Accepted Answer

A)  81 
B)  86 
C)  91 
D)  96 
A)  81 
B)  86 
C)  91 
D)  96

Question 19

True or False: Each forecast using the method of exponential smoothing depends on all the
previous observations in the time series.

Accepted Answer

A) True 
 B)False

Question 20

Accepted Answer

The answer of  ...

After estimating a trend model for annual time-series data, you obtain the following residual Plot against time, the problem with your model is that

SCENARIO 16-14 -Referring to Scenario 16-14, using the regression equation, which of the following values Is the best forecast for the number of contracts in the second quarter of 2015?

True or False: The method of least squares may be used to estimate both linear and curvilinear trends.

The cyclical component of a time series

True or False: Given a data set with 15 yearly observations, there are only thirteen 3-year moving averages.

Which of the following statements about the method of exponential smoothing is not true?

SCENARIO 16-3 -Referring to Scenario 16-3, if a three-month moving average is used to smooth this series, What would be the last calculated value?

Which of the following terms describes the up and down movements of a time series that Vary both in length and intensity?

True or False: A trend is a persistent pattern in annual time-series data that has to be followed for several years.

Based on the following scatter plot, which of the time-series components is not present in This quarterly time series?

The fairly regular fluctuations that occur within each year would be contained in the _________________ component.

After estimating a trend model for annual time-series data, you obtain the following residual Plot against time, the problem with your model is that:

True or False: A least squares linear trend line is just a simple regression line with the years recoded.

The method of least squares is used on time-series data for

True or False: In selecting a forecasting model, you should perform a residual analysis.

True or False: MAD is the summation of the residuals divided by the sample size.

SCENARIO 16-3 -Referring to Scenario 16-3, suppose the last two smoothed values are 81 and 96 (Note: they Are not).What would you forecast as the value of the time series for September?

True or False: Each forecast using the method of exponential smoothing depends on all the previous observations in the time series.

Defining and Collecting Data

Organizing and Visualizing

Numerical Descriptive Measures

Basic Probability

Discrete Probability Distributions

Conthe Tinuonormausl Disdis Tributionstribution and Other

Sampling Distributions

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Two-Sample Tests

Analysis of Variance

Chi-Square and Nonparametric

Simple Linear Regression

Introduction to Multiple

Multiple Regression

Business Analytics

A Roadmap for Analyzing Data

Statistical Applications in Quality Management

Decision Making

Filters

Exam 16: Time-Series Forecasting

After estimating a trend model for annual time-series data, you obtain the following residual Plot against time, the problem with your model is that

SCENARIO 16-14 -Referring to Scenario 16-14, using the regression equation, which of the following values Is the best forecast for the number of contracts in the second quarter of 2015?

True or False: The method of least squares may be used to estimate both linear and curvilinear trends.

The cyclical component of a time series

True or False: Given a data set with 15 yearly observations, there are only thirteen 3-year moving averages.

Which of the following statements about the method of exponential smoothing is not true?

SCENARIO 16-3 -Referring to Scenario 16-3, if a three-month moving average is used to smooth this series, What would be the last calculated value?

Which of the following terms describes the up and down movements of a time series that Vary both in length and intensity?

True or False: A trend is a persistent pattern in annual time-series data that has to be followed for several years.

Based on the following scatter plot, which of the time-series components is not present in This quarterly time series?

The fairly regular fluctuations that occur within each year would be contained in the _________________ component.

After estimating a trend model for annual time-series data, you obtain the following residual Plot against time, the problem with your model is that:

True or False: A least squares linear trend line is just a simple regression line with the years recoded.

The method of least squares is used on time-series data for

True or False: In selecting a forecasting model, you should perform a residual analysis.

True or False: MAD is the summation of the residuals divided by the sample size.

SCENARIO 16-3 -Referring to Scenario 16-3, suppose the last two smoothed values are 81 and 96 (Note: they Are not).What would you forecast as the value of the time series for September?

True or False: Each forecast using the method of exponential smoothing depends on all the previous observations in the time series.

Defining and Collecting Data

Organizing and Visualizing

Numerical Descriptive Measures

Basic Probability

Discrete Probability Distributions

Conthe Tinuonormausl Disdis Tributionstribution and Other

Sampling Distributions

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Two-Sample Tests

Analysis of Variance

Chi-Square and Nonparametric

Simple Linear Regression

Introduction to Multiple

Multiple Regression

Business Analytics

A Roadmap for Analyzing Data

Statistical Applications in Quality Management

Decision Making

Filters