Question 1

Two forecasting models were used to predict the future values of a time series.The forecasts are shown below with the actual values:

Accepted Answer

\[\begin{array} { l l l } 
\text { Forec

Question 2

While a simple index is calculated by using the values of one time series,an aggregate index is computed based on the accumulated values of more than one time series.

Accepted Answer

A) True 
 B)False

Question 3

The Holt-Winters double exponential smoothing method is used to forecast time series data with ___________.

Accepted Answer

A) Autocorrelation 
B) A linear trend 
C) Cyclical patterns 
D) Moving averages 
A) Autocorrelation 
B) A linear trend 
C) Cyclical patterns 
D) Moving averages

Question 4

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 5

The Durbin-Watson statistic is used to detect _____________.

Accepted Answer

A) First-order autocorrelation 
B) Exponential smoothing 
C) Multiplicative decomposing 
D) Irregular variation 
A) First-order autocorrelation 
B) Exponential smoothing 
C) Multiplicative decomposing 
D) Irregular variation

Question 6

Exponential smoothing is a forecasting method that applies equal weights to the time series observations.

Accepted Answer

A) True 
 B)False

Question 7

Seasonal variations are periodic patterns in a time series that are repeated over time.For which one of the following time series variables is it not possible to recognize seasonal variations?

Accepted Answer

A) Quarters of the year 
B) Months of the year 
C) Days of the week 
D) Hours of the day 
E) Years 
A) Quarters of the year 
B) Months of the year 
C) Days of the week 
D) Hours of the day 
E) Years

Question 8

Consider the following data and calculations.Calculate the estimated value of b1 and b0,and state the linear trend regression prediction equation.

Accepted Answer

\[\begin{array} { c c } 
\text { Month }

Question 9

When deseasonalizing a time series observation,the actual time series observation is divided by its seasonal factor.

Accepted Answer

A) True 
 B)False

Question 10

A simple exponential forecasting method would not be used to forecast seasonal data.

Accepted Answer

A) True 
 B)False

Question 11

Consider the regression equation

Accepted Answer

@#LAT-DLM& 
and the data below: \[\begin{array} {

Question 12

The linear trend equation for the following data is

Accepted Answer

@#LAT-DLM& 
. \[\begin{array} { c c } 
\text { Mon

Question 13

Which of the following is not a component of time series?

Accepted Answer

A) Trend 
B) Seasonal 
C) Cyclical 
D) Irregular 
E) Smoothing constant 
A) Trend 
B) Seasonal 
C) Cyclical 
D) Irregular 
E) Smoothing constant

Question 14

Dummy variable regression would be an appropriate method to use to forecast a time series that exhibits a linear trend with no seasonal or cyclical patterns.

Accepted Answer

A) True 
 B)False

Question 15

The ________ component of a time series measures the fluctuations in a time series due to economic conditions of prosperity and recession with a duration of approximately 2 years or longer.

Accepted Answer

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

Question 16

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model,the following partial computer output was obtained.

Accepted Answer

\[\begin{array} { l l l l } 
\text { Var

Question 17

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

Two forecasting models were used to predict the future values of a time series.The forecasts are shown below with the actual values:

While a simple index is calculated by using the values of one time series,an aggregate index is computed based on the accumulated values of more than one time series.

The Holt-Winters double exponential smoothing method is used to forecast time series data with ___________.

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

The Durbin-Watson statistic is used to detect _____________.

Exponential smoothing is a forecasting method that applies equal weights to the time series observations.

Seasonal variations are periodic patterns in a time series that are repeated over time.For which one of the following time series variables is it not possible to recognize seasonal variations?

Consider the following data and calculations.Calculate the estimated value of b₁ and b₀,and state the linear trend regression prediction equation.

When deseasonalizing a time series observation,the actual time series observation is divided by its seasonal factor.

A simple exponential forecasting method would not be used to forecast seasonal data.

Consider the regression equation

The linear trend equation for the following data is

Which of the following is not a component of time series?

Dummy variable regression would be an appropriate method to use to forecast a time series that exhibits a linear trend with no seasonal or cyclical patterns.

The ________ component of a time series measures the fluctuations in a time series due to economic conditions of prosperity and recession with a duration of approximately 2 years or longer.

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model,the following partial computer output was obtained.

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

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression and Model Building

Process Improvement Using Control Charts

Nonparametric Methods

Decision Theory

Filters

Exam 16: Time Series Forecasting and Index Numbers

Two forecasting models were used to predict the future values of a time series.The forecasts are shown below with the actual values:

While a simple index is calculated by using the values of one time series,an aggregate index is computed based on the accumulated values of more than one time series.

The Holt-Winters double exponential smoothing method is used to forecast time series data with ___________.

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

The Durbin-Watson statistic is used to detect _____________.

Exponential smoothing is a forecasting method that applies equal weights to the time series observations.

Seasonal variations are periodic patterns in a time series that are repeated over time.For which one of the following time series variables is it not possible to recognize seasonal variations?

Consider the following data and calculations.Calculate the estimated value of b1 and b0,and state the linear trend regression prediction equation.

When deseasonalizing a time series observation,the actual time series observation is divided by its seasonal factor.

A simple exponential forecasting method would not be used to forecast seasonal data.

Consider the regression equation

The linear trend equation for the following data is

Which of the following is not a component of time series?

Dummy variable regression would be an appropriate method to use to forecast a time series that exhibits a linear trend with no seasonal or cyclical patterns.

The ________ component of a time series measures the fluctuations in a time series due to economic conditions of prosperity and recession with a duration of approximately 2 years or longer.

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model,the following partial computer output was obtained.

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

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression and Model Building

Process Improvement Using Control Charts

Nonparametric Methods

Decision Theory

Filters

Consider the following data and calculations.Calculate the estimated value of b₁ and b₀,and state the linear trend regression prediction equation.