Exam 15: Time-Series Forecasting and Index Numbers

A time series with forecast values is presented in the following table: If the mean absolute deviation (MAD)until September is 0.06,and the overall MAD is 0.05, Then x = ______.

(Multiple Choice)

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Question 41

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 p and q respectively,then α = ______.

(Multiple Choice)

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Question 42

Weighted aggregate price indexes are also known as _______.

(Multiple Choice)

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Question 43

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

(Multiple Choice)

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Question 44

Typically,the denominator used to calculate an index number is a measurement for the ____________ period.

(Multiple Choice)

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Question 45

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 46

If the Year_t Quarter_q actual value is 9,885 and the corresponding Year_t Quarter_q seasonal index is 97.75,then the Year_t Quarter_q deseasonalized value is ______.

(Multiple Choice)

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Question 47

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

(Multiple Choice)

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Question 48

Often,index numbers are expressed as ____________.

(Multiple Choice)

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Question 49

In exponential smoothing models,the value of the smoothing constant may be any number between ___________.

(Multiple Choice)

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Question 50

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 (with weights of 5,3,and 1 for the most current value,next most current value and oldest value,respectively),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 51

When a trucking firm uses the number of shipments for January of the previous year as the forecast for January next year,it is using a naïve forecasting model.

(True/False)

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Question 52

The ratios of "actuals to moving averages" (seasonal indexes)for a time series are presented in the following table as percentages. The final (completely adjusted)estimate of the seasonal index for Q₁ is __________.

(Multiple Choice)

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Question 53

Using 2000 as the base year,the 1990 value of the Paasche' Price Index is ______. (Quantities are averages for the student body.)

(Multiple Choice)

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Question 54

A time series with forecast values and error terms is presented in the following table. The mean squared error (MSE)for this forecast is ___________.

(Multiple Choice)

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Question 55

Suppose that for a time-series model,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

A stationary time-series data has only trend but no cyclical or seasonal effects.

(True/False)

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Question 57

Unweighted price indexes compare across the entire time period for which there is data.

(True/False)

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Question 58

For large datasets,the mean error (ME)and mean absolute deviation (MAD)always have the same numerical value.

(True/False)

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Question 59

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 60

Showing 41 - 60 of 94

A time series with forecast values is presented in the following table: If the mean absolute deviation (MAD)until September is 0.06,and the overall MAD is 0.05, Then x = ______.

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 p and q respectively,then α = ______.

Weighted aggregate price indexes are also known as _______.

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

Typically,the denominator used to calculate an index number is a measurement for the ____________ period.

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?

If the Year_t Quarter_q actual value is 9,885 and the corresponding Year_t Quarter_q seasonal index is 97.75,then the Year_t Quarter_q deseasonalized value is ______.

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

Often,index numbers are expressed as ____________.

In exponential smoothing models,the value of the smoothing constant may be any number between ___________.

When a trucking firm uses the number of shipments for January of the previous year as the forecast for January next year,it is using a naïve forecasting model.

The ratios of "actuals to moving averages" (seasonal indexes)for a time series are presented in the following table as percentages. The final (completely adjusted)estimate of the seasonal index for Q₁ is __________.

Using 2000 as the base year,the 1990 value of the Paasche' Price Index is ______. (Quantities are averages for the student body.)

A time series with forecast values and error terms is presented in the following table. The mean squared error (MSE)for this forecast is ___________.

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

A stationary time-series data has only trend but no cyclical or seasonal effects.

Unweighted price indexes compare across the entire time period for which there is data.

For large datasets,the mean error (ME)and mean absolute deviation (MAD)always have the same numerical value.

Using a three-month moving average,the forecast value for October made at the end of September in the following time series would be ____________.

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

A Nalysis 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

A time series with forecast values is presented in the following table: If the mean absolute deviation (MAD)until September is 0.06,and the overall MAD is 0.05, Then x = ______.

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 p and q respectively,then α = ______.

Weighted aggregate price indexes are also known as _______.

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

Typically,the denominator used to calculate an index number is a measurement for the ____________ period.

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?

If the Yeart Quarterq actual value is 9,885 and the corresponding Yeart Quarterq seasonal index is 97.75,then the Yeart Quarterq deseasonalized value is ______.

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

Often,index numbers are expressed as ____________.

In exponential smoothing models,the value of the smoothing constant may be any number between ___________.

When a trucking firm uses the number of shipments for January of the previous year as the forecast for January next year,it is using a naïve forecasting model.

The ratios of "actuals to moving averages" (seasonal indexes)for a time series are presented in the following table as percentages. The final (completely adjusted)estimate of the seasonal index for Q1 is __________.

Using 2000 as the base year,the 1990 value of the Paasche' Price Index is ______. (Quantities are averages for the student body.)

A time series with forecast values and error terms is presented in the following table. The mean squared error (MSE)for this forecast is ___________.

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

A stationary time-series data has only trend but no cyclical or seasonal effects.

Unweighted price indexes compare across the entire time period for which there is data.

For large datasets,the mean error (ME)and mean absolute deviation (MAD)always have the same numerical value.

Using a three-month moving average,the forecast value for October made at the end of September in the following time series would be ____________.

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

A Nalysis 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

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 p and q respectively,then α = ______.

If the Year_t Quarter_q actual value is 9,885 and the corresponding Year_t Quarter_q seasonal index is 97.75,then the Year_t Quarter_q deseasonalized value is ______.

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

The ratios of "actuals to moving averages" (seasonal indexes)for a time series are presented in the following table as percentages. The final (completely adjusted)estimate of the seasonal index for Q₁ is __________.

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