Question 1

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

Accepted Answer

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

Question 2

When deseasonalizing time series observation,we divide the actual time series observation by its __________.

Accepted Answer

A) irregular factor 
B) cyclical factor 
C) seasonal factor 
D) weighted aggregate factor 
A) irregular factor 
B) cyclical factor 
C) seasonal factor 
D) weighted aggregate factor

Question 3

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 hypothesis to test the significance of the t2 term.

Accepted Answer

H₀: @#LAT-DLM&

Question 4

Given the following data   Compute the mean absolute deviation (MAD).

Accepted Answer

A) 21.9 
B) 175 
C) 225 
D) 28.1 
A) 21.9 
B) 175 
C) 225 
D) 28.1

Question 5

When using simple exponential smoothing,the value of the smoothing constant $\alpha$ cannot be:

Accepted Answer

A) Negative 
B) Greater than zero 
C) Greater than 1 
D) .99 
E) Both A and C 
A) Negative 
B) Greater than zero 
C) Greater than 1 
D) .99 
E) Both A and C

Question 6

Use the following information for the three grains.   Calculate the simple price index for each grain separately.

Accepted Answer

The answer of Use the following information for the three...

Question 7

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

Accepted Answer

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

Question 8

A sequence of values of some variable or composite of variables taken at successive,uninterrupted time periods,is called a

Accepted Answer

A) Least squares (linear)trend line 
B) Moving averages 
C) Cyclical component 
D) Time series 
E) Seasonal factor 
A) Least squares (linear)trend line 
B) Moving averages 
C) Cyclical component 
D) Time series 
E) Seasonal factor

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

The ________ index is a weighted aggregate price index.It is accurate in its calculation of the periodic prices,however using this index it is difficult to compare the prices in different 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 11

The linear trend equation for the following data is     What is the predicted value of the fund in the period t = 1?

Accepted Answer

A) 11.43 
B) 3.93 
C) 8.22 
D) 2.50 
A) 11.43 
B) 3.93 
C) 8.22 
D) 2.50

Question 12

The following data on prices and quantities for the years 1995 and 2000 are given for three products.   Calculate the simple price index for each product separately.

Accepted Answer

The answer of The following data on prices and quantities...

Question 13

Consider the regression equation   = 6.04 + 0.10(t)and the data below.   Compute the residual (error term)for period 8.

Accepted Answer

A) -1.25 
B) -1.16 
C) -0.35 
D) -0.26 
A) -1.25 
B) -1.16 
C) -0.35 
D) -0.26

Question 14

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.   Calculate the Mean Absolute Deviation (MAD).

Accepted Answer

A) 3.671 
B) 8.215 
C) 2.161 
D) 1.643 
A) 3.671 
B) 8.215 
C) 2.161 
D) 1.643

Question 15

The recurring up-and-down movement of a time series around trend levels that last more than one calendar year is called ____.

Accepted Answer

A) constant variation 
B) cyclical variation 
C) seasonal variation 
D) irregular variation 
A) constant variation 
B) cyclical variation 
C) seasonal variation 
D) irregular variation

Question 16

Consider the following data:  
 Consider the following data and calculate S3 using simple exponential smoothing if S1 = 18.6 and $\alpha$ = 0.2.

Accepted Answer

A) 19.08 
B) 19.00 
C) 19.60 
D) 19.06 
A) 19.08 
B) 19.00 
C) 19.60 
D) 19.06

Question 17

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 18

_________ component of time series refers to the erratic time-series movement that follow no recognizable or regular pattern.

Accepted Answer

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

Question 19

A simple index is computed by using the values of one time series,while the _______ index is based on a "market basket" consisting of more than one time series.

Accepted Answer

A) weighted 
B) aggregate 
C) cyclical 
D) trend 
A) weighted 
B) aggregate 
C) cyclical 
D) trend

Question 20

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model the following partial computer output was obtained.   
Test the significance of the t2 term at $\alpha$ = .05.State the critical t value (rejection point)and the p-value.Make your decision using a two-sided null hypothesis.

Accepted Answer

t = -3.80,p-value = .001,reject H<sub>0<

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

When deseasonalizing time series observation,we divide the actual time series observation by its __________.

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 hypothesis to test the significance of the t² term.

Given the following data Compute the mean absolute deviation (MAD).

When using simple exponential smoothing,the value of the smoothing constant $\alpha$ cannot be:

Use the following information for the three grains. Calculate the simple price index for each grain separately.

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

A sequence of values of some variable or composite of variables taken at successive,uninterrupted time periods,is called a

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

The ________ index is a weighted aggregate price index.It is accurate in its calculation of the periodic prices,however using this index it is difficult to compare the prices in different time periods.

The linear trend equation for the following data is What is the predicted value of the fund in the period t = 1?

The following data on prices and quantities for the years 1995 and 2000 are given for three products. Calculate the simple price index for each product separately.

Consider the regression equation = 6.04 + 0.10(t)and the data below. Compute the residual (error term)for period 8.

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. Calculate the Mean Absolute Deviation (MAD).

The recurring up-and-down movement of a time series around trend levels that last more than one calendar year is called ____.

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

_________ component of time series refers to the erratic time-series movement that follow no recognizable or regular pattern.

A simple index is computed by using the values of one time series,while the _______ index is based on a "market basket" consisting of more than one time series.

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

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

When deseasonalizing time series observation,we divide the actual time series observation by its __________.

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 hypothesis to test the significance of the t2 term.

Given the following data Compute the mean absolute deviation (MAD).

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

Use the following information for the three grains. Calculate the simple price index for each grain separately.

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

A sequence of values of some variable or composite of variables taken at successive,uninterrupted time periods,is called a

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

The ________ index is a weighted aggregate price index.It is accurate in its calculation of the periodic prices,however using this index it is difficult to compare the prices in different time periods.

The linear trend equation for the following data is What is the predicted value of the fund in the period t = 1?

The following data on prices and quantities for the years 1995 and 2000 are given for three products. Calculate the simple price index for each product separately.

Consider the regression equation = 6.04 + 0.10(t)and the data below. Compute the residual (error term)for period 8.

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. Calculate the Mean Absolute Deviation (MAD).

The recurring up-and-down movement of a time series around trend levels that last more than one calendar year is called ____.

Consider the following data: Consider the following data and calculate S3 using simple exponential smoothing if S1 = 18.6 and α\alphaα = 0.2.

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

_________ component of time series refers to the erratic time-series movement that follow no recognizable or regular pattern.

A simple index is computed by using the values of one time series,while the _______ index is based on a "market basket" consisting of more than one time series.

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 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 hypothesis to test the significance of the t² term.

When using simple exponential smoothing,the value of the smoothing constant $\alpha$ cannot be:

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. Calculate the Mean Absolute Deviation (MAD).