Question 1

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

Accepted Answer

A) True 
 B)False

Question 2

Calculating the "ratios of actuals to moving average" is a common step in time series decomposition.The results (the quotients)of this step estimate the ________.

Accepted Answer

A) trend and cyclical components 
B) seasonal and irregular components 
C) cyclical and irregular components 
D) trend and seasonal components 
E) irregular components 
A) trend and cyclical components 
B) seasonal and irregular components 
C) cyclical and irregular components 
D) trend and seasonal components 
E) irregular components

Question 3

Two popular general categories of smoothing techniques are exponential models and logarithmic models.

Accepted Answer

A) True 
 B)False

Question 4

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

Accepted Answer

A) True 
 B)False

Question 5

The first step of isolating seasonal effects is to remove the trend and cycles effects.

Accepted Answer

A) True 
 B)False

Question 6

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

Accepted Answer

A) True 
 B)False

Question 7

Given several years of quarterly data and finding the four quarter moving average from Q3 of the second year through Q2 of the third year would be placed on the decomposition table between which two quarters?

Accepted Answer

A) second year Q3 and Q4 
B) second year Q4 and third year Q2 
C) third year Q1 and Q2 
D) third year Q2 and Q3 
E) second year Q4 and third year Q1 
A) second year Q3 and Q4 
B) second year Q4 and third year Q2 
C) third year Q1 and Q2 
D) third year Q2 and Q3 
E) second year Q4 and third year Q1

Question 8

When constructing a weighted aggregate price index, the weights usually are _____.

Accepted Answer

A) prices of substitute items 
B) prices of complementary items 
C) quantities of the respective items 
D) squared quantities of the respective items 
E) quality of individual items 
A) prices of substitute items 
B) prices of complementary items 
C) quantities of the respective items 
D) squared quantities of the respective items 
E) quality of individual items

Question 9

The long-term general direction of data is referred to as series.

Accepted Answer

A) True 
 B)False

Question 10

The effect of a four-quarter moving average on can be described as ______________ the seasonal effects of the data.

Accepted Answer

A) emphasizing 
B) dampening 
C) removing 
D) incorporating 
E) normalizing 
A) emphasizing 
B) dampening 
C) removing 
D) incorporating 
E) normalizing

Question 11

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

Accepted Answer

A) the actual value for the current period 
B) the actual value for the previous period 
C) the forecast for the current period 
D) the forecast for the previous period 
E) the forecast for the next period 
A) the actual value for the current period 
B) the actual value for the previous period 
C) the forecast for the current period 
D) the forecast for the previous period 
E) the forecast for the next period

Question 12

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

Accepted Answer

A) -1 and 1 
B) -5 and 5 
C) 0 and 1 
D) 0 and 10 
E) 0 and 100 
A) -1 and 1 
B) -5 and 5 
C) 0 and 1 
D) 0 and 10 
E) 0 and 100

Question 13

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

Accepted Answer

A) linear   
B) tangential 
C) cosine 
D) quadratic 
E) flat 
A) linear   
B) tangential 
C) cosine 
D) quadratic 
E) flat

Question 14

Analysis of data for an autoregressive forecasting model produced the following tables.     The forecasting model is __________.

Accepted Answer

A) ŷt = 3.745787 + 0.082849yt-1 + 0.035709yt-2 
B) ŷt = 3.85094 + 0.70434yt-1 - 0.62669yt-2 
C) ŷt = 0.84426 - 1.66023yt-1 + 14.65023yt-2 
D) ŷt = 0.34299 + 0.13822yt-1 + 9.69yt-2 
E) ŷt = 0.34299 + 0.13822yt-1 - 6.69yt-2 
A) ŷt = 3.745787 + 0.082849yt-1 + 0.035709yt-2 
B) ŷt = 3.85094 + 0.70434yt-1 - 0.62669yt-2 
C) ŷt = 0.84426 - 1.66023yt-1 + 14.65023yt-2 
D) ŷt = 0.34299 + 0.13822yt-1 + 9.69yt-2 
E) ŷt = 0.34299 + 0.13822yt-1 - 6.69yt-2

Question 15

The motivation for using an index number is to ________________.

Accepted Answer

A) transform the data to a standard normal distribution 
B) transform the data for a linear model 
C) eliminate bias from the sample 
D) reduce data to an easier-to-use, more convenient form 
E) reduce the variance in the data 
A) transform the data to a standard normal distribution 
B) transform the data for a linear model 
C) eliminate bias from the sample 
D) reduce data to an easier-to-use, more convenient form 
E) reduce the variance in the data

Question 16

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

Accepted Answer

A) True 
 B)False

Question 17

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 __________.

Accepted Answer

A) -101.00 
B) 104.54 
C) 218.71 
D) 21.56 
E) -77.81 
A) -101.00 
B) 104.54 
C) 218.71 
D) 21.56 
E) -77.81

Question 18

Time-series data are data gathered on a desired characteristic at a particular point in time.

Accepted Answer

A) True 
 B)False

Question 19

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.

Accepted Answer

A) True 
 B)False

Question 20

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

Accepted Answer

A) fail to reject the null hypothesis D = 0 
B) reject the null hypothesis D = 0 
C) fail to reject the null hypothesis ρ = 0 
D) reject the null hypothesis ρ = 0 
E) fail to reject the null hypothesis ρ > 0 
A) fail to reject the null hypothesis D = 0 
B) reject the null hypothesis D = 0 
C) fail to reject the null hypothesis ρ = 0 
D) reject the null hypothesis ρ = 0 
E) fail to reject the null hypothesis ρ > 0

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

Calculating the "ratios of actuals to moving average" is a common step in time series decomposition.The results (the quotients)of this step estimate the ________.

Two popular general categories of smoothing techniques are exponential models and logarithmic models.

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

The first step of isolating seasonal effects is to remove the trend and cycles effects.

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

Given several years of quarterly data and finding the four quarter moving average from Q₃ of the second year through Q₂ of the third year would be placed on the decomposition table between which two quarters?

When constructing a weighted aggregate price index, the weights usually are _____.

The long-term general direction of data is referred to as series.

The effect of a four-quarter moving average on can be described as ______________ the seasonal effects of the data.

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

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

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

Analysis of data for an autoregressive forecasting model produced the following tables. The forecasting model is __________.

The motivation for using an index number is to ________________.

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

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 __________.

Time-series data are data gathered on a desired characteristic at a particular point in time.

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.

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

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

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

Calculating the "ratios of actuals to moving average" is a common step in time series decomposition.The results (the quotients)of this step estimate the ________.

Two popular general categories of smoothing techniques are exponential models and logarithmic models.

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

The first step of isolating seasonal effects is to remove the trend and cycles effects.

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

Given several years of quarterly data and finding the four quarter moving average from Q3 of the second year through Q2 of the third year would be placed on the decomposition table between which two quarters?

When constructing a weighted aggregate price index, the weights usually are _____.

The long-term general direction of data is referred to as series.

The effect of a four-quarter moving average on can be described as ______________ the seasonal effects of the data.

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

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

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

Analysis of data for an autoregressive forecasting model produced the following tables. The forecasting model is __________.

The motivation for using an index number is to ________________.

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

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 __________.

Time-series data are data gathered on a desired characteristic at a particular point in time.

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.

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

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

Given several years of quarterly data and finding the four quarter moving average from Q₃ of the second year through Q₂ of the third year would be placed on the decomposition table between which two quarters?