Question 1

A positive autocorrelation implies that negative error terms will be followed by _________ error terms.

Accepted Answer

A) negative 
B) positive 
C) either negative or positive 
D) irregular 
A) negative 
B) positive 
C) either negative or positive 
D) irregular

Question 2

A univariate time series model is used to predict future values of a time series based only upon past values of a time series.

Accepted Answer

A) True 
 B)False

Question 3

Consider the following data:   
Calculate S1 using simple exponential smoothing and $\alpha$ = 2.

Accepted Answer

A) 19 
B) 17.4 
C) 19.6 
D) 18.6 
A) 19 
B) 17.4 
C) 19.6 
D) 18.6

Question 4

Consider the regression equation   and the data below:   Compute the predicted value for sales for period 6 and 7.

Accepted Answer

The answer of Consider the regression equation   and...

Question 5

If the errors produced by a forecasting method for 3 observations are + 3,+ 3 and - 3,then what is the mean squared error?

Accepted Answer

A) 9 
B) 0 
C) 3 
D) -3 
E) 2 
A) 9 
B) 0 
C) 3 
D) -3 
E) 2

Question 6

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 7

The ________ index is a weighted aggregate price index that uses the base period quantities as weights in all succeeding time periods.

Accepted Answer

A) Paasche 
B) First-order autocorrelation 
C) Laspeyres 
D) Cyclical (seasonal) 
A) Paasche 
B) First-order autocorrelation 
C) Laspeyres 
D) Cyclical (seasonal)

Question 8

Based on the information given in the table above,we can conclude that in general the forecasting method is:

Accepted Answer

A) Underestimating demand 
B) Overestimating demand 
C) We cannot determine whether the predictions based on this method's results in underestimation or overestimation of demand. 
A) Underestimating demand 
B) Overestimating demand 
C) We cannot determine whether the predictions based on this method's results in underestimation or overestimation of demand.

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

In general,the number of dummy variables used to model constant seasonal variation is equal to the number of

Accepted Answer

A) seasons 
B) seasons minus 1 
C) seasons plus 1 
D) seasons minus 2 
E) seasons divided by two 
A) seasons 
B) seasons minus 1 
C) seasons plus 1 
D) seasons minus 2 
E) seasons divided by two

A positive autocorrelation implies that negative error terms will be followed by _________ error terms.

A univariate time series model is used to predict future values of a time series based only upon past values of a time series.

Consider the following data: $Consider the following data: Calculate S<sub>1</sub> using simple exponential smoothing and \alpha = 2.$ Calculate S₁ using simple exponential smoothing and $\alpha$ = 2.

Consider the regression equation and the data below: Compute the predicted value for sales for period 6 and 7.

If the errors produced by a forecasting method for 3 observations are + 3,+ 3 and - 3,then what is the mean squared error?

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

The ________ index is a weighted aggregate price index that uses the base period quantities as weights in all succeeding time periods.

Based on the information given in the table above,we can conclude that in general the forecasting method is:

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

In general,the number of dummy variables used to model constant seasonal variation is equal to the number of

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 Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression

Model Building and Model Diagnostics

Process Improvement Using Control Charts

Nonparametric Methods

Decision Theory

Filters

Exam 16: Time Series Forecasting

A positive autocorrelation implies that negative error terms will be followed by _________ error terms.

A univariate time series model is used to predict future values of a time series based only upon past values of a time series.

Consider the following data: Calculate S1 using simple exponential smoothing and α\alphaα = 2.

Consider the regression equation and the data below: Compute the predicted value for sales for period 6 and 7.

If the errors produced by a forecasting method for 3 observations are + 3,+ 3 and - 3,then what is the mean squared error?

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

The ________ index is a weighted aggregate price index that uses the base period quantities as weights in all succeeding time periods.

Based on the information given in the table above,we can conclude that in general the forecasting method is:

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

In general,the number of dummy variables used to model constant seasonal variation is equal to the number of

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 Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression

Model Building and Model Diagnostics

Process Improvement Using Control Charts

Nonparametric Methods

Decision Theory

Filters

Consider the following data: $Consider the following data: Calculate S<sub>1</sub> using simple exponential smoothing and \alpha = 2.$ Calculate S₁ using simple exponential smoothing and $\alpha$ = 2.