Question 1

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 2

Given the following data   Compute the mean absolute deviation.

Accepted Answer

A) 60 
B) -10 
C) 10 
D) 16.7 
A) 60 
B) -10 
C) 10 
D) 16.7

Question 3

Given the following data   Compute the mean squared deviation (error)

Accepted Answer

The answer of Given the following data   Compute...

Question 4

The linear trend equation for the following data is     What is the predicted value of the fund in the period 7?

Accepted Answer

A) 12.51 
B) 48.93 
C) 18.93 
D) 29.67 
A) 12.51 
B) 48.93 
C) 18.93 
D) 29.67

Question 5

A sustained long-term change in the level of the variable that is being forecasted per unit of time is:

Accepted Answer

A) A trend 
B) A time series 
C) Seasonality 
D) A change due to business cycles 
A) A trend 
B) A time series 
C) Seasonality 
D) A change due to business cycles

Question 6

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

Accepted Answer

A) autocorrelation 
B) linear trend 
C) cyclical patterns 
D) moving averages 
A) autocorrelation 
B) linear trend 
C) cyclical patterns 
D) moving averages

Question 7

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model the following partial computer output was obtained.   What is the predicted value of y when t = 20?

Accepted Answer

The answer of Consider a time series with 15 quarterly...

Question 8

As you probably know,in a given week,the NYSE (New York Stock Exchange)is generally open from Monday through Friday.If we wanted to use multiple regression method with dummy variables to study the impact of the day of the week on stock market performance,we would need ____ dummy variables.

Accepted Answer

A) 5 
B) 52 
C) 4 
D) 3 
E) 365 
A) 5 
B) 52 
C) 4 
D) 3 
E) 365

Question 9

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 10

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 11

Using the price of the following food items,compute the aggregate index numbers for the four type of cheeses.Let 1990 be the base year for this market basket of goods.

Accepted Answer

100.0,108.5,112.0
To

Question 12

The smoothing constant is a number that determines how much weight it is attached to each observation.

Accepted Answer

A) True 
 B)False

Question 13

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 average forecast error.

Accepted Answer

A) 3.0 
B) 1.80 
C) 1.643 
D) 1.924 
A) 3.0 
B) 1.80 
C) 1.643 
D) 1.924

Question 14

Consider the regression equation   and the data below:   Compute the residuals (error terms)for period 6 and 7.

Accepted Answer

6.107,.345 e₆ = 47 -

Question 15

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

Accepted Answer

A) True 
 B)False

Question 16

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 17

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

Accepted Answer

A) True 
 B)False

Question 18

Consider the following set of quarterly sales data given in thousands of dollars.   The following dummy variable model that incorporates a linear trend and constant seasonal variation was used: y (t)= B0 + B1t + BQ1(Q1)+ BQ2(Q2)+ BQ3(Q3)+ Et
In this model there are 3 binary seasonal variables (Q1,Q2,and Q3).
Where
Qi is a binary (0,1)variable defined as:
Qi = 1,if the time series data is associated with quarter i;
Qi = 0,if the time series data is not associated with quarter i.
The results associated with this data and model are given in the following MINITAB computer output.
The regression equation is
Sales = 2442 + 6.2 Time - 693 Q1 - 1499 Q2 + 153 Q3   Provide a managerial interpretation of the regression coefficients for the variable "Q1" (quarter 1),"Q2" (quarter 2)and "Q3" (quarter 3).

Accepted Answer

Excluding trend,estimated sales in quart

Question 19

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

Accepted Answer

A) True 
 B)False

Question 20

When a forecaster uses multiplicative decomposition model or time series regression model she or he assumes that the time series components are changing over time.

Accepted Answer

A) True 
 B)False

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

Given the following data Compute the mean absolute deviation.

Given the following data Compute the mean squared deviation (error)

The linear trend equation for the following data is What is the predicted value of the fund in the period 7?

A sustained long-term change in the level of the variable that is being forecasted per unit of time is:

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

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model the following partial computer output was obtained. What is the predicted value of y when t = 20?

As you probably know,in a given week,the NYSE (New York Stock Exchange)is generally open from Monday through Friday.If we wanted to use multiple regression method with dummy variables to study the impact of the day of the week on stock market performance,we would need ____ dummy variables.

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

The Durbin-Watson statistic is used to detect ____.

Using the price of the following food items,compute the aggregate index numbers for the four type of cheeses.Let 1990 be the base year for this market basket of goods.

The smoothing constant is a number that determines how much weight it is attached to each observation.

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 average forecast error.

Consider the regression equation and the data below: Compute the residuals (error terms)for period 6 and 7.

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

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

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

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

When a forecaster uses multiplicative decomposition model or time series regression model she or he assumes that the time series components are changing over time.

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

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

Given the following data Compute the mean absolute deviation.

Given the following data Compute the mean squared deviation (error)

The linear trend equation for the following data is What is the predicted value of the fund in the period 7?

A sustained long-term change in the level of the variable that is being forecasted per unit of time is:

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

Consider a time series with 15 quarterly sales observations.Using the quadratic trend model the following partial computer output was obtained. What is the predicted value of y when t = 20?

As you probably know,in a given week,the NYSE (New York Stock Exchange)is generally open from Monday through Friday.If we wanted to use multiple regression method with dummy variables to study the impact of the day of the week on stock market performance,we would need ____ dummy variables.

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

The Durbin-Watson statistic is used to detect ____.

Using the price of the following food items,compute the aggregate index numbers for the four type of cheeses.Let 1990 be the base year for this market basket of goods.

The smoothing constant is a number that determines how much weight it is attached to each observation.

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 average forecast error.

Consider the regression equation and the data below: Compute the residuals (error terms)for period 6 and 7.

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

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

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

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

When a forecaster uses multiplicative decomposition model or time series regression model she or he assumes that the time series components are changing over time.

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

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 average forecast error.