Exam 15: Time-Series Forecasting and Index Numbers

If the trend equation is linear in time,the slope indicates the increase,or decrease when negative,in the forecasted value of the response value Y for the next time period.

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(True/False)

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Question 1

Correct Answer:

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True

Analysis of data for an autoregressive forecasting model produced the following tables. The actual values of this time series,y,were 228,54,and 191 for May,June,and July,respectively.The predicted (forecast)value for August is __________.

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(Multiple Choice)

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Question 2

Correct Answer:

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One of the main techniques for isolating the effects of seasonality is reconstitution.

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(True/False)

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Question 3

Correct Answer:

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False

What is the forecast for the Period 7 using a 3-period moving average technique,given the following time-series data for six past periods?

(Multiple Choice)

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Question 4

Often,index numbers are expressed as ____________.

(Multiple Choice)

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Question 5

One of the main techniques for isolating the effects of seasonality is decomposition.

(True/False)

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Question 6

Weighted aggregate price indexes are also known as _______.

(Multiple Choice)

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Question 7

Using 2010 as the base year,the 2012 value of a simple price index for the following price data is _____________.

(Multiple Choice)

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Question 8

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 $10,000)as the predictor variable.An analysis of the data yielded the following tables. Jim's calculated value for the Durbin-Watson statistic is 1.93.Using \alpha = 0.05,the appropriate decision is: _____.$ $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 $10,000)as the predictor variable.An analysis of the data yielded the following tables. Jim's calculated value for the Durbin-Watson statistic is 1.93.Using \alpha = 0.05,the appropriate decision is: _.$ Jim's calculated value for the Durbin-Watson statistic is 1.93.Using $\alpha$ = 0.05,the appropriate decision is: _____.

(Multiple Choice)

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Question 9

Using a three-month moving average (with weights of 6,3,and 1 for the most current value,next most current value and oldest value,respectively),the forecast value for November in the following time series is ____________.

(Multiple Choice)

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Question 10

A small value of the Durbin-Watson statistic indicates that successive error terms are positively correlated.

(True/False)

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Question 11

Forecast error is the difference between the value of the response variable and those of the explanatory variables.

(True/False)

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Question 12

The city golf course is interested in starting a junior golf program.The golf pros has collected data on the number of youths under 13 that have played golf during the last 4 months.Using a three-month moving average,the forecast value for October made at the end of September in the following time series would be ____________.

(Multiple Choice)

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Question 13

The forecast value for September 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 14

The city golf course is interested in starting a junior golf program.The golf pro has collected data on the number of youths under 13 that have played golf during the last 4 months.Using a three-month moving average,the forecast value for November in the following time series would be ____________.

(Multiple Choice)

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Question 15

A weighted aggregate price index where the weight for each item is computed by using the quantities of the base period is known as the

(Multiple Choice)

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Question 16

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

(Multiple Choice)

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Question 17

When the error terms of a regression forecasting model are correlated the problem of autocorrelation occurs.

(True/False)

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Question 18

Linear regression models cannot be used to analyze quadratic trends in time-series data.

(True/False)

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Question 19

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 20

Showing 1 - 20 of 75

If the trend equation is linear in time,the slope indicates the increase,or decrease when negative,in the forecasted value of the response value Y for the next time period.

Analysis of data for an autoregressive forecasting model produced the following tables. The actual values of this time series,y,were 228,54,and 191 for May,June,and July,respectively.The predicted (forecast)value for August is __________.

One of the main techniques for isolating the effects of seasonality is reconstitution.

What is the forecast for the Period 7 using a 3-period moving average technique,given the following time-series data for six past periods?

Often,index numbers are expressed as ____________.

One of the main techniques for isolating the effects of seasonality is decomposition.

Weighted aggregate price indexes are also known as _______.

Using 2010 as the base year,the 2012 value of a simple price index for the following price data is _____________.

Using a three-month moving average (with weights of 6,3,and 1 for the most current value,next most current value and oldest value,respectively),the forecast value for November in the following time series is ____________.

A small value of the Durbin-Watson statistic indicates that successive error terms are positively correlated.

Forecast error is the difference between the value of the response variable and those of the explanatory variables.

The forecast value for September 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 ______.

The city golf course is interested in starting a junior golf program.The golf pro has collected data on the number of youths under 13 that have played golf during the last 4 months.Using a three-month moving average,the forecast value for November in the following time series would be ____________.

A weighted aggregate price index where the weight for each item is computed by using the quantities of the base period is known as the

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

When the error terms of a regression forecasting model are correlated the problem of autocorrelation occurs.

Linear regression models cannot be used to analyze quadratic trends in time-series data.

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.

Introduction to Statistics

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

If the trend equation is linear in time,the slope indicates the increase,or decrease when negative,in the forecasted value of the response value Y for the next time period.

Analysis of data for an autoregressive forecasting model produced the following tables. The actual values of this time series,y,were 228,54,and 191 for May,June,and July,respectively.The predicted (forecast)value for August is __________.

One of the main techniques for isolating the effects of seasonality is reconstitution.

What is the forecast for the Period 7 using a 3-period moving average technique,given the following time-series data for six past periods?

Often,index numbers are expressed as ____________.

One of the main techniques for isolating the effects of seasonality is decomposition.

Weighted aggregate price indexes are also known as _______.

Using 2010 as the base year,the 2012 value of a simple price index for the following price data is _____________.

Using a three-month moving average (with weights of 6,3,and 1 for the most current value,next most current value and oldest value,respectively),the forecast value for November in the following time series is ____________.

A small value of the Durbin-Watson statistic indicates that successive error terms are positively correlated.

Forecast error is the difference between the value of the response variable and those of the explanatory variables.

The forecast value for September 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 ______.

The city golf course is interested in starting a junior golf program.The golf pro has collected data on the number of youths under 13 that have played golf during the last 4 months.Using a three-month moving average,the forecast value for November in the following time series would be ____________.

A weighted aggregate price index where the weight for each item is computed by using the quantities of the base period is known as the

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

When the error terms of a regression forecasting model are correlated the problem of autocorrelation occurs.

Linear regression models cannot be used to analyze quadratic trends in time-series data.

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.

Introduction to Statistics

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 September 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 ______.