Question 1

If the errors produced by a forecasting method for 3 observations are -1,-2,and -6,then what is the mean squared error (deviation)?

Accepted Answer

A) 9 
B) -9 
C) 3 
D) 13.67 
A) 9 
B) -9 
C) 3 
D) 13.67

Question 2

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

Question 3

The linear regression trend model was applied to a time series of sales data based on the last 16 months of sales.The following partial computer output was obtained:

Accepted Answer

\[\begin{array} { l l l l } 
& \text { V

Question 4

The linear regression trend model was applied to a time series of sales data based on the last 16 months of sales.The following partial computer output was obtained:

Accepted Answer

\[\begin{array} { l l l l } 
& \text { V

Question 5

The price and quantity of several food items are listed below for the years 1990 and 2000.

Accepted Answer

\[\begin{array} { | l | l | l | l | l |

Question 6

Consider the following data:
$$\begin{array} { c c } 
\text { Time } & \text { Demand } \
1 & 17 \
2 & 21 \
3 & 19 \
4 & 23 \
5 & 18 \
6 & 16 \
7 & 20 \
8 & 18 \
9 & 22 \
10 & 20 \
11 & 15 \
12 & 22
\end{array}$$ 
Calculate S0 using simple exponential smoothing and ? =.2.
S0 = 19

Accepted Answer

Question 7

Box-Jenkins models describe the future time series value by using past time series values,which are called autoregressive terms.

Accepted Answer

A) True 
 B)False

Question 8

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.

Accepted Answer

\[\begin{array} { l c c c } 
&& { \text

Question 9

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.

Accepted Answer

\[\begin{array} { l c c c } 
&& { \text

Question 10

When there is _______________ seasonal variation,the magnitude of the seasonal swing does not depend on the level of the time series.

Accepted Answer

A) cyclical 
B) constant 
C) irregular 
D) increasing 
A) cyclical 
B) constant 
C) irregular 
D) increasing

Question 11

The simple moving average method is primarily useful in determining the impact of trend on a time series.

Accepted Answer

A) True 
 B)False

Question 12

Cyclical variation exists when the magnitude of the seasonal swing does not depend on the level of a time series.

Accepted Answer

A) True 
 B)False

Question 13

To carry out combined regular and seasonal differencing,you take the seasonal differences of the regular differences.

Accepted Answer

A) True 
 B)False

Question 14

In the multiplicative decomposition method,the centered moving averages provide an estimate of:

Accepted Answer

A) Trend × seasonal 
B) Trend × cycle 
C) Seasonal × cycle 
D) Trend × irregular 
E) Seasonal × irregular 
A) Trend × seasonal 
B) Trend × cycle 
C) Seasonal × cycle 
D) Trend × irregular 
E) Seasonal × irregular

Question 15

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.The normalized (adjusted)seasonal factors are winter = .9982,spring = .9263,summer = 1.139,and fall = .9365.

Accepted Answer

\[\begin{array} { l c c c } 
& &{ \text

Question 16

Based on the following data,a forecaster used simple exponential smoothing and determined the following: S0 = 19,S1 = 18.6,S2 = 19.08,S3 = 19.064,S4 = 19.851,and S5 = 19.481.

Accepted Answer

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

Question 17

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.The normalized (adjusted)seasonal factors are winter = .9982,spring = .9263,summer = 1.139,and fall = .9365.

Accepted Answer

\[\begin{array} { l c c c } 
& & { \text

Question 18

Given the following data,compute the mean squared error (deviation).

Accepted Answer

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

Question 19

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 20

When a forecaster uses the ______________ method,she or he assumes that the time series components are changing slowly over time.

Accepted Answer

A) Time series regression 
B) Exponential smoothing 
C) Box-Jenkins 
D) Multiplicative decomposition 
A) Time series regression 
B) Exponential smoothing 
C) Box-Jenkins 
D) Multiplicative decomposition

If the errors produced by a forecasting method for 3 observations are -1,-2,and -6,then what is the mean squared error (deviation)?

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

The linear regression trend model was applied to a time series of sales data based on the last 16 months of sales.The following partial computer output was obtained:

The linear regression trend model was applied to a time series of sales data based on the last 16 months of sales.The following partial computer output was obtained:

The price and quantity of several food items are listed below for the years 1990 and 2000.

Consider the following data: Time Demand 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 Calculate S₀ using simple exponential smoothing and ? =.2. S₀ = 19

Box-Jenkins models describe the future time series value by using past time series values,which are called autoregressive terms.

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.

When there is _______________ seasonal variation,the magnitude of the seasonal swing does not depend on the level of the time series.

The simple moving average method is primarily useful in determining the impact of trend on a time series.

Cyclical variation exists when the magnitude of the seasonal swing does not depend on the level of a time series.

To carry out combined regular and seasonal differencing,you take the seasonal differences of the regular differences.

In the multiplicative decomposition method,the centered moving averages provide an estimate of:

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.The normalized (adjusted)seasonal factors are winter = .9982,spring = .9263,summer = 1.139,and fall = .9365.

Based on the following data,a forecaster used simple exponential smoothing and determined the following: S₀ = 19,S₁ = 18.6,S₂ = 19.08,S₃ = 19.064,S₄ = 19.851,and S₅ = 19.481.

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.The normalized (adjusted)seasonal factors are winter = .9982,spring = .9263,summer = 1.139,and fall = .9365.

Given the following data,compute the mean squared error (deviation).

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

When a forecaster uses the ______________ method,she or he assumes that the time series components are changing slowly over time.

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

If the errors produced by a forecasting method for 3 observations are -1,-2,and -6,then what is the mean squared error (deviation)?

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

The linear regression trend model was applied to a time series of sales data based on the last 16 months of sales.The following partial computer output was obtained:

The linear regression trend model was applied to a time series of sales data based on the last 16 months of sales.The following partial computer output was obtained:

The price and quantity of several food items are listed below for the years 1990 and 2000.

Consider the following data: Time Demand 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 Calculate S0 using simple exponential smoothing and ? =.2. S0 = 19

Box-Jenkins models describe the future time series value by using past time series values,which are called autoregressive terms.

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.

When there is _______________ seasonal variation,the magnitude of the seasonal swing does not depend on the level of the time series.

The simple moving average method is primarily useful in determining the impact of trend on a time series.

Cyclical variation exists when the magnitude of the seasonal swing does not depend on the level of a time series.

To carry out combined regular and seasonal differencing,you take the seasonal differences of the regular differences.

In the multiplicative decomposition method,the centered moving averages provide an estimate of:

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.The normalized (adjusted)seasonal factors are winter = .9982,spring = .9263,summer = 1.139,and fall = .9365.

Based on the following data,a forecaster used simple exponential smoothing and determined the following: S0 = 19,S1 = 18.6,S2 = 19.08,S3 = 19.064,S4 = 19.851,and S5 = 19.481.

Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.The normalized (adjusted)seasonal factors are winter = .9982,spring = .9263,summer = 1.139,and fall = .9365.

Given the following data,compute the mean squared error (deviation).

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

When a forecaster uses the ______________ method,she or he assumes that the time series components are changing slowly over time.

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: Time Demand 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 Calculate S₀ using simple exponential smoothing and ? =.2. S₀ = 19

Based on the following data,a forecaster used simple exponential smoothing and determined the following: S₀ = 19,S₁ = 18.6,S₂ = 19.08,S₃ = 19.064,S₄ = 19.851,and S₅ = 19.481.