A time series with forecast values and error terms is presented in the following table.The mean error (ME)for this forecast is ___________. $\begin{array}{|r|r|r|r|} \hline \text { Monthh } & \text { Actual } & \text { Forecast} & \text { Error } \\ \hline \text { July } & 5 & & \\ \hline \text { Aug } & 11 & 5 & 6.00 \\ \hline \text { Sept } & 13 & 6.8 & 6.20 \\ \hline \text { Oct } & 6 & 8.66 & -2.66 \\ \hline \text { Nov } & 5 & 7.862 & -2.86 \\ \hline \end{array}$

A) 1.67 B) 1.34 C) 6.68 D) 3.67 E) 2.87 A) 1.67 B) 1.34 C) 6.68 D) 3.67 E) 2.87

A time series with forecast values and error terms is presented in the following table.The mean absolute deviation (MAD)for this forecast is ___________. $\begin{array}{|r|r|r|r|} \hline \text { Monthh } & \text { Actual } & \text { Forecast} & \text { Error } \\ \hline \text { July } & 5 & & \\ \hline \text { Aug } & 11 & 5 & 6.00 \\ \hline \text { Sept } & 13 & 6.8 & 6.20 \\ \hline \text { Oct } & 6 & 8.66 & -2.66 \\ \hline \text { Nov } & 5 & 7.862 & -2.86 \\ \hline \end{array}$

A) 3.54 B) 7.41 C) 4.43 D) 17.72 E) 4.34 A) 3.54 B) 7.41 C) 4.43 D) 17.72 E) 4.34

The ratios of "actuals to moving averages" (seasonal indexes)for a time series are presented in the following table as percentages. \[\begin{array} { | r | r | r | r | r | r | } \hline & 2008 & 2009 & 2010 & 2011 & 2012 \\ \hline Q _ { 1 } & & 112.22 & 110.78 & 111.22 & 111.87 \\ \hline Q _ { 2 } & & 100.65 & 108.68 & 103.78 & 101.95 \\ \hline Q _ { 3 } & 97.76 & 99.08 & 97.68 & 97.61 & \\ \hline Q _ { 4 } & 86.61 & 95.00 & 94.64 & 92.92 & \\ \hline \end{array}\] The final (completely adjusted)estimate of the seasonal index for Q4 is __________.

A) 86.61 B) 90.90 C) 93.78 D) 92.29 E) 93.00 A) 86.61 B) 90.90 C) 93.78 D) 92.29 E) 93.00

Using a three-month moving average, the forecast value for October made at the end of September in the following time series would be ____________. \[\begin{array} { | r | r | } \hline \text { July } & 5 \\ \hline \text { Amg } & 11 \\ \hline \text { Sent } & 13 \\ \hline \text { Oct } & 6 \\ \hline \end{array}\]

A) 11.60 B) 10.00 C) 9.07 D) 8.06 E) 9.67 A) 11.60 B) 10.00 C) 9.07 D) 8.06 E) 9.67

Exam 15: Time-Series Forecasting and Index Numbers

The forecast value for August was 22 and the actual value turned out to be 19.Using exponential smoothing with $\alpha$ = 0.30, the forecast value for September would be ______.

(Multiple Choice)

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Question 41

Jim Royo, Manager of Billings Building Supply (BBS), wants to develop a model to forecast BBS's monthly sales (in $1,000's).He selects the dollar value of residential building permits (in $10,000)as the predictor variable.An analysis of the data yielded the following tables. $Jim Royo, Manager of Billings Building Supply (BBS), wants to develop a model to forecast BBS's monthly sales (in $1,000's).He selects the dollar value of residential building permits (in $10,000)as the predictor variable.An analysis of the data yielded the following tables. Using \alpha = 0.05 the critical value of the Durbin-Watson statistic, dL, is _.$ $Jim Royo, Manager of Billings Building Supply (BBS), wants to develop a model to forecast BBS's monthly sales (in $1,000's).He selects the dollar value of residential building permits (in $10,000)as the predictor variable.An analysis of the data yielded the following tables. Using \alpha = 0.05 the critical value of the Durbin-Watson statistic, dL, is _.$ Using $\alpha$ = 0.05 the critical value of the Durbin-Watson statistic, d_L,is _________.

(Multiple Choice)

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Question 42

The following graph of a time-series data suggests a _______________ trend.

(Multiple Choice)

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Question 43

Autoregression is a multiple regression technique in which the independent variables are time-lagged versions of the dependent variable.

(True/False)

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Question 44

Using 2011 as the base year, the 2010 value of the Laspeyres Price Index is ______.

(Multiple Choice)

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Question 45

Use of a smoothing constant value less than 0.5 in an exponential smoothing model gives more weight to ___________.

(Multiple Choice)

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Question 46

In statistics, the Winters' Three Parameter statistic is a test statistic used to detect the presence of autocorrelation in the residuals from a regression analysis.

(True/False)

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Question 47

Using 2011 as the base year, the 2010 value of the Paasche' Price Index is ______.

(Multiple Choice)

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Question 48

A time series with forecast values and error terms is presented in the following table.The mean error (ME)for this forecast is ___________. Monthh Actual Forecast Error July 5 Aug 11 5 6.00 Sept 13 6.8 6.20 Oct 6 8.66 -2.66 Nov 5 7.862 -2.86

(Multiple Choice)

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Question 49

The forecast value for September was 21.1 and the actual value turned out to be 18.Using exponential smoothing with $\alpha$ = 0.30, the forecast value for October would be ______.

(Multiple Choice)

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Question 50

Jim Royo, Manager of Billings Building Supply (BBS), wants to develop a model to forecast BBS's monthly sales (in $1,000's).He selects the dollar value of residential building permits (in $10,000)as the predictor variable.An analysis of the data yielded the following tables. $Jim Royo, Manager of Billings Building Supply (BBS), wants to develop a model to forecast BBS's monthly sales (in $1,000's).He selects the dollar value of residential building permits (in $10,000)as the predictor variable.An analysis of the data yielded the following tables. Using \alpha = 0.05 the critical value of the Durbin-Watson statistic, dU, is _.$ $Jim Royo, Manager of Billings Building Supply (BBS), wants to develop a model to forecast BBS's monthly sales (in $1,000's).He selects the dollar value of residential building permits (in $10,000)as the predictor variable.An analysis of the data yielded the following tables. Using \alpha = 0.05 the critical value of the Durbin-Watson statistic, dU, is _.$ Using $\alpha$ = 0.05 the critical value of the Durbin-Watson statistic, d_U,is _________.

(Multiple Choice)

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Question 51

A time series analysis was performed to determine the number of new online customers that joined the 'Jelly of the Month Club'.The actual number of new customers, the forecast values and the error terms are presented in the following table.The mean error (ME)for this forecast is ___________. Monthh Actual Forecast Error July 4 Aug 6 5 -1 Sept 3 6 3 Oct 9 8 -1 Nov 8 9 1

(Multiple Choice)

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Question 52

A time series with forecast values and error terms is presented in the following table.The mean absolute deviation (MAD)for this forecast is ___________. Monthh Actual Forecast Error July 5 Aug 11 5 6.00 Sept 13 6.8 6.20 Oct 6 8.66 -2.66 Nov 5 7.862 -2.86

(Multiple Choice)

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Question 53

One of the ways to overcome the autocorrelation problem in a regression forecasting model is to transform the variables by taking the first-differences.

(True/False)

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Question 54

Once the seasonal effects have been isolated, these effects can be removed from the original data through desensitizing.

(True/False)

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Question 55

Suppose that for a time-series model with one predictor, you compute a Durbin-Watson statistic of 0.625.Assume that n = 30 and α = 0.05.Then d_L = ______.

(Multiple Choice)

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Question 56

If a researcher is using exponential smoothing and determines that the forecast for the next period (F_{t + 1})is the weighted average of the actual value for the previous period (X_t)and the forecast value for the previous period (F_t), with weights of 1 and 3 respectively, then α = ______.

(Multiple Choice)

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Question 57

The ratios of "actuals to moving averages" (seasonal indexes)for a time series are presented in the following table as percentages. 2008 2009 2010 2011 2012 112.22 110.78 111.22 111.87 100.65 108.68 103.78 101.95 97.76 99.08 97.68 97.61 86.61 95.00 94.64 92.92 The final (completely adjusted)estimate of the seasonal index for Q₄ is __________.

(Multiple Choice)

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Question 58

Using a three-month moving average, the forecast value for October made at the end of September in the following time series would be ____________. July 5 Amg 11 Sent 13 Oct 6

(Multiple Choice)

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Question 59

The high and low values of the "ratios of actuals to moving average" are ignored when finalizing the seasonal index for a period (month or quarter)in time series decomposition.The rationale for this is to ________.

(Multiple Choice)

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Question 60

Showing 41 - 60 of 103

The forecast value for August was 22 and the actual value turned out to be 19.Using exponential smoothing with $\alpha$ = 0.30, the forecast value for September would be ______.

The following graph of a time-series data suggests a _______________ trend.

Autoregression is a multiple regression technique in which the independent variables are time-lagged versions of the dependent variable.

Using 2011 as the base year, the 2010 value of the Laspeyres Price Index is ______.

Use of a smoothing constant value less than 0.5 in an exponential smoothing model gives more weight to ___________.

In statistics, the Winters' Three Parameter statistic is a test statistic used to detect the presence of autocorrelation in the residuals from a regression analysis.

Using 2011 as the base year, the 2010 value of the Paasche' Price Index is ______.

A time series with forecast values and error terms is presented in the following table.The mean error (ME)for this forecast is ___________. Monthh Actual Forecast Error July 5 Aug 11 5 6.00 Sept 13 6.8 6.20 Oct 6 8.66 -2.66 Nov 5 7.862 -2.86

The forecast value for September was 21.1 and the actual value turned out to be 18.Using exponential smoothing with $\alpha$ = 0.30, the forecast value for October would be ______.

A time series with forecast values and error terms is presented in the following table.The mean absolute deviation (MAD)for this forecast is ___________. Monthh Actual Forecast Error July 5 Aug 11 5 6.00 Sept 13 6.8 6.20 Oct 6 8.66 -2.66 Nov 5 7.862 -2.86

One of the ways to overcome the autocorrelation problem in a regression forecasting model is to transform the variables by taking the first-differences.

Once the seasonal effects have been isolated, these effects can be removed from the original data through desensitizing.

Suppose that for a time-series model with one predictor, you compute a Durbin-Watson statistic of 0.625.Assume that n = 30 and α = 0.05.Then d_L = ______.

If a researcher is using exponential smoothing and determines that the forecast for the next period (F_{t + 1})is the weighted average of the actual value for the previous period (X_t)and the forecast value for the previous period (F_t), with weights of 1 and 3 respectively, then α = ______.

Using a three-month moving average, the forecast value for October made at the end of September in the following time series would be ____________. July 5 Amg 11 Sent 13 Oct 6

The high and low values of the "ratios of actuals to moving average" are ignored when finalizing the seasonal index for a period (month or quarter)in time series decomposition.The rationale for this is to ________.

Introduction to Statistics and Business Analytics

Visualizing Data With Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Simple Regression Analysis and Correlation

Multiple Regression Analysis

Building Multiple Regression Models

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

Exam 15: Time-Series Forecasting and Index Numbers

The forecast value for August was 22 and the actual value turned out to be 19.Using exponential smoothing with α\alphaα = 0.30, the forecast value for September would be ______.

The following graph of a time-series data suggests a _______________ trend.

Autoregression is a multiple regression technique in which the independent variables are time-lagged versions of the dependent variable.

Using 2011 as the base year, the 2010 value of the Laspeyres Price Index is ______.

Use of a smoothing constant value less than 0.5 in an exponential smoothing model gives more weight to ___________.

In statistics, the Winters' Three Parameter statistic is a test statistic used to detect the presence of autocorrelation in the residuals from a regression analysis.

Using 2011 as the base year, the 2010 value of the Paasche' Price Index is ______.

A time series with forecast values and error terms is presented in the following table.The mean error (ME)for this forecast is ___________. Monthh Actual Forecast Error July 5 Aug 11 5 6.00 Sept 13 6.8 6.20 Oct 6 8.66 -2.66 Nov 5 7.862 -2.86

The forecast value for September was 21.1 and the actual value turned out to be 18.Using exponential smoothing with α\alphaα = 0.30, the forecast value for October would be ______.

A time series with forecast values and error terms is presented in the following table.The mean absolute deviation (MAD)for this forecast is ___________. Monthh Actual Forecast Error July 5 Aug 11 5 6.00 Sept 13 6.8 6.20 Oct 6 8.66 -2.66 Nov 5 7.862 -2.86

One of the ways to overcome the autocorrelation problem in a regression forecasting model is to transform the variables by taking the first-differences.

Once the seasonal effects have been isolated, these effects can be removed from the original data through desensitizing.

Suppose that for a time-series model with one predictor, you compute a Durbin-Watson statistic of 0.625.Assume that n = 30 and α = 0.05.Then dL = ______.

If a researcher is using exponential smoothing and determines that the forecast for the next period (Ft + 1)is the weighted average of the actual value for the previous period (Xt)and the forecast value for the previous period (Ft), with weights of 1 and 3 respectively, then α = ______.

Using a three-month moving average, the forecast value for October made at the end of September in the following time series would be ____________. July 5 Amg 11 Sent 13 Oct 6

The high and low values of the "ratios of actuals to moving average" are ignored when finalizing the seasonal index for a period (month or quarter)in time series decomposition.The rationale for this is to ________.

Introduction to Statistics and Business Analytics

Visualizing Data With Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Simple Regression Analysis and Correlation

Multiple Regression Analysis

Building Multiple Regression Models

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

The forecast value for August was 22 and the actual value turned out to be 19.Using exponential smoothing with $\alpha$ = 0.30, the forecast value for September would be ______.

The forecast value for September was 21.1 and the actual value turned out to be 18.Using exponential smoothing with $\alpha$ = 0.30, the forecast value for October would be ______.

Suppose that for a time-series model with one predictor, you compute a Durbin-Watson statistic of 0.625.Assume that n = 30 and α = 0.05.Then d_L = ______.

If a researcher is using exponential smoothing and determines that the forecast for the next period (F_{t + 1})is the weighted average of the actual value for the previous period (X_t)and the forecast value for the previous period (F_t), with weights of 1 and 3 respectively, then α = ______.