Question 1

When the magnitude of the seasonal swing does not depend on the level of a time series,we call this _________ variation.

Accepted Answer

A)  increasing seasonal 
B)  cyclical seasonal 
C)  constant seasonal 
D)  decreasing seasonal 
E)  no seasonal 
A)  increasing seasonal 
B)  cyclical seasonal 
C)  constant seasonal 
D)  decreasing seasonal 
E)  no seasonal

Question 2

When using simple exponential smoothing,the more recent the time series observation,the ____________ its corresponding weight.

Accepted Answer

A)  larger 
B)  smaller 
C)  more irregular 
D)  more cyclical 
A)  larger 
B)  smaller 
C)  more irregular 
D)  more cyclical

Question 3

A Paasche index more accurately provides a year-to-year comparison of the annual cost of selected products in the market-basket than a Laspeyres index.

Accepted Answer

A) True 
 B)False

Question 4

Trend refers to a long-run upward or downward movement of a time series over a period of time.

Accepted Answer

A) True 
 B)False

Question 5

The Consumer Price Index and the Producer Price Index are both calculated using the ___________ index formula.

Accepted Answer

A)  Paasche 
B)  weighted aggregate 
C)  Laspeyres 
D)  cyclical (seasonal) 
A)  Paasche 
B)  weighted aggregate 
C)  Laspeyres 
D)  cyclical (seasonal)

Question 6

When using simple exponential smoothing,the value of the smoothing constant α cannot be

Accepted Answer

A)  negative. 
B)  greater than zero. 
C)  greater than 1. 
D)  .99. 
E)  negative or greater than 1. 
A)  negative. 
B)  greater than zero. 
C)  greater than 1. 
D)  .99. 
E)  negative or greater than 1.

Question 7

The price and quantity of several food items are listed below for the years 1990 and 2000.   Compute the Paasche index,using 1990 as the base year.

Accepted Answer

I_P₁₉₉₀ = 111.97 Paasche Index = ∑P_iQ

Question 8

Those fluctuations that are associated with climate,holidays,and related activities are referred to as __________ variations.

Accepted Answer

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

Question 9

When the moving average method is used to estimate the seasonal factors with quarterly sales data,a ______ period moving average is used.

Accepted Answer

A)  2 
B)  3 
C)  4 
D)  5 
E)  8 
A)  2 
B)  3 
C)  4 
D)  5 
E)  8

Question 10

The upward or downward movement that characterizes a time series over a period of time is referred to as _____________.

Accepted Answer

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

Question 11

Seasonal variations are periodic patterns in a time series that must last at least one year.

Accepted Answer

A) True 
 B)False

Question 12

The ___________ test is a test for first-order positive autocorrelation.

Accepted Answer

A)  Durbin-Watson 
B)  MSD 
C)  MAD 
D)  multiplicative Winters 
A)  Durbin-Watson 
B)  MSD 
C)  MAD 
D)  multiplicative Winters

Question 13

When using moving averages to estimate the seasonal factors,we need to compute the centered moving average if there are an odd number of seasons.

Accepted Answer

A) True 
 B)False

Question 14

Consider the following data and calculate S1 using simple exponential smoothing and α = 0.3.

Accepted Answer

S₁ = 18.40

Question 15

Periodic patterns in time series that repeat themselves within a calendar year or less are referred to as _____________.

Accepted Answer

A)  constant variations 
B)  cyclical variations 
C)  seasonal variations 
D)  regular variations 
A)  constant variations 
B)  cyclical variations 
C)  seasonal variations 
D)  regular variations

Question 16

Consider the following data.   Calculate S5 using simple exponential smoothing if S3 = 19.064 and α = 0.2.

Accepted Answer

S₅ = 19.48 S₄ = (.2)(2

Question 17

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model,the following partial computer output was obtained.   State the two-sided null and alternative hypotheses to test the significance of the t2 term.

Accepted Answer

Question 18

Random shock is a value that is assumed to have been randomly selected that is the same for each and every time period.

Accepted Answer

A) True 
 B)False

Question 19

Consider the following data.   Calculate S0 using simple exponential smoothing and α =.2.

Accepted Answer

Question 20

Which of the following time series forecasting methods would not be used to forecast seasonal data?

Accepted Answer

A)  dummy variable regression 
B)  simple exponential smoothing 
C)  time series decomposition 
D)  multiplicative Winters method 
A)  dummy variable regression 
B)  simple exponential smoothing 
C)  time series decomposition 
D)  multiplicative Winters method

When the magnitude of the seasonal swing does not depend on the level of a time series,we call this _________ variation.

When using simple exponential smoothing,the more recent the time series observation,the ____________ its corresponding weight.

A Paasche index more accurately provides a year-to-year comparison of the annual cost of selected products in the market-basket than a Laspeyres index.

Trend refers to a long-run upward or downward movement of a time series over a period of time.

The Consumer Price Index and the Producer Price Index are both calculated using the ___________ index formula.

When using simple exponential smoothing,the value of the smoothing constant α cannot be

The price and quantity of several food items are listed below for the years 1990 and 2000. Compute the Paasche index,using 1990 as the base year.

Those fluctuations that are associated with climate,holidays,and related activities are referred to as __________ variations.

When the moving average method is used to estimate the seasonal factors with quarterly sales data,a ______ period moving average is used.

The upward or downward movement that characterizes a time series over a period of time is referred to as _____________.

Seasonal variations are periodic patterns in a time series that must last at least one year.

The ___________ test is a test for first-order positive autocorrelation.

When using moving averages to estimate the seasonal factors,we need to compute the centered moving average if there are an odd number of seasons.

Consider the following data and calculate S₁ using simple exponential smoothing and α = 0.3.

Periodic patterns in time series that repeat themselves within a calendar year or less are referred to as _____________.

Consider the following data. Calculate S₅ using simple exponential smoothing if S₃ = 19.064 and α = 0.2.

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model,the following partial computer output was obtained. State the two-sided null and alternative hypotheses to test the significance of the t² term.

Random shock is a value that is assumed to have been randomly selected that is the same for each and every time period.

Consider the following data. Calculate S₀ using simple exponential smoothing and α =.2.

Which of the following time series forecasting methods would not be used to forecast seasonal data?

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Sampling and Sampling Distributions

Confidence Intervals

Hypothesis Testing

Statistical Inferences for Means and Proportions

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters

Exam 15: Multiple Regression and Model Building

When the magnitude of the seasonal swing does not depend on the level of a time series,we call this _________ variation.

When using simple exponential smoothing,the more recent the time series observation,the ____________ its corresponding weight.

A Paasche index more accurately provides a year-to-year comparison of the annual cost of selected products in the market-basket than a Laspeyres index.

Trend refers to a long-run upward or downward movement of a time series over a period of time.

The Consumer Price Index and the Producer Price Index are both calculated using the ___________ index formula.

When using simple exponential smoothing,the value of the smoothing constant α cannot be

The price and quantity of several food items are listed below for the years 1990 and 2000. Compute the Paasche index,using 1990 as the base year.

Those fluctuations that are associated with climate,holidays,and related activities are referred to as __________ variations.

When the moving average method is used to estimate the seasonal factors with quarterly sales data,a ______ period moving average is used.

The upward or downward movement that characterizes a time series over a period of time is referred to as _____________.

Seasonal variations are periodic patterns in a time series that must last at least one year.

The ___________ test is a test for first-order positive autocorrelation.

When using moving averages to estimate the seasonal factors,we need to compute the centered moving average if there are an odd number of seasons.

Consider the following data and calculate S1 using simple exponential smoothing and α = 0.3.

Periodic patterns in time series that repeat themselves within a calendar year or less are referred to as _____________.

Consider the following data. Calculate S5 using simple exponential smoothing if S3 = 19.064 and α = 0.2.

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model,the following partial computer output was obtained. State the two-sided null and alternative hypotheses to test the significance of the t2 term.

Random shock is a value that is assumed to have been randomly selected that is the same for each and every time period.

Consider the following data. Calculate S0 using simple exponential smoothing and α =.2.

Which of the following time series forecasting methods would not be used to forecast seasonal data?

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Sampling and Sampling Distributions

Confidence Intervals

Hypothesis Testing

Statistical Inferences for Means and Proportions

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters

Consider the following data and calculate S₁ using simple exponential smoothing and α = 0.3.

Consider the following data. Calculate S₅ using simple exponential smoothing if S₃ = 19.064 and α = 0.2.

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model,the following partial computer output was obtained. State the two-sided null and alternative hypotheses to test the significance of the t² term.

Consider the following data. Calculate S₀ using simple exponential smoothing and α =.2.