Question 1

Index numbers facilitate comparison of ____________.

Accepted Answer

A)  means 
B)  data over time 
C)  variances 
D)  samples 
E)  deviations 
A)  means 
B)  data over time 
C)  variances 
D)  samples 
E)  deviations B

Question 2

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

Accepted Answer

A) Paasche Index 
B) Simple Index 
C) Laspeyres Index 
D) Consumer Price index 
E) Producer Price index 
A) Paasche Index 
B) Simple Index 
C) Laspeyres Index 
D) Consumer Price index 
E) Producer Price index C

Question 3

The table below shows the prices in $ and quantities (thousands)for five specialized electronic components for 2000 and 2016.   If the Paasche price index for 2016 using 2000 as base year is 137.75,then P = ______.

Accepted Answer

A)  4.75 
B)  4.88 
C)  5.23 
D)  5.67 
E)  5.72 
A)  4.75 
B)  4.88 
C)  5.23 
D)  5.67 
E)  5.72 C

Question 4

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.

Accepted Answer

A) True 
 B)False

Question 5

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

Accepted Answer

A) True 
 B)False

Question 6

One of the ways to overcome the autocorrelation problem in a regression forecasting model is to increase the level of significance for the F test

Accepted Answer

A) True 
 B)False

Question 7

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

Accepted Answer

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

Question 8

Naïve forecasting models have no useful applications because they do not take into account data trend,cyclical effects or seasonality.

Accepted Answer

A) True 
 B)False

Question 9

If the Yeart Quarterq actual value is 9,885 and the Yeart Quarterq deseasonalized value is 10,112.53,then the Yeart Quarterq seasonal index is ______.

Accepted Answer

A)  0.022 
B)  0.9775 
C)  2.22 
D)  97.75 
E)  102.30 
A)  0.022 
B)  0.9775 
C)  2.22 
D)  97.75 
E)  102.30

Question 10

The table below shows the prices in $ and quantities (thousands)for five specialized electronic components for 2000 and 2016.   The Paasche price index for 2016 using 2000 as base year is ______.

Accepted Answer

A)  139.87 
B)  137.25 
C)  135.87 
D)  133.25 
E)  131.87 
A)  139.87 
B)  137.25 
C)  135.87 
D)  133.25 
E)  131.87

Question 11

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 12

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 13

If a researcher is using exponential smoothing and determines that the forecast for the next period (Ft + 1)coincides with 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.If p = 2,then q = ______.

Accepted Answer

A)  2/α + 2 
B)  2/(α + 2) 
C)  2/(α − 2) 
D)  1/(α − 2) 
E)  2/α − 2 
A)  2/α + 2 
B)  2/(α + 2) 
C)  2/(α − 2) 
D)  1/(α − 2) 
E)  2/α − 2

Question 14

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 October made at the end of September in the following time series would be__________.

Accepted Answer

A)  11.60 
B)  10.00 
C)  9.67 
D)  8.60 
E)  6.11 
A)  11.60 
B)  10.00 
C)  9.67 
D)  8.60 
E)  6.11

Question 15

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 16

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

Accepted Answer

A) Paasche Index 
B) Simple Index 
C) Laspeyres Index 
D) Consumer Price index 
E) Producer Price index 
A) Paasche Index 
B) Simple Index 
C) Laspeyres Index 
D) Consumer Price index 
E) Producer Price index

Question 17

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 ____________.

Accepted Answer

A)  11.60 
B)  10.00 
C)  9.67 
D)  8.06 
E)  8.60 
A)  11.60 
B)  10.00 
C)  9.67 
D)  8.06 
E)  8.60

Question 18

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 1.14. Using $\alpha$ = 0.05,the appropriate decision is: _________.

Accepted Answer

A)  do not reject H0: $\rho$ = 0 
B)  reject H0: $\rho$ = 0 
C)  do not reject H0: $\rho$ $\neq$ 0 
D)  the test is inconclusive 
E)  reject H0: $\rho$ ≠ 0 
A)  do not reject H0: $\rho$ = 0 
B)  reject H0: $\rho$ = 0 
C)  do not reject H0: $\rho$ $\neq$ 0 
D)  the test is inconclusive 
E)  reject H0: $\rho$ ≠ 0

Question 19

The actual value of a variable for July was 195.The researcher is using exponential smoothing with α = 0.30 and determines that the forecast value for August is 205.5.Then the forecast value for July was ______.

Accepted Answer

A)  200 
B)  202 
C)  205 
D)  207 
E)  210 
A)  200 
B)  202 
C)  205 
D)  207 
E)  210

Question 20

In an autoregressive forecasting model,the independent variable(s)is (are)______.

Accepted Answer

A)  time-lagged values of the dependent variable 
B)  first-order differences of the dependent variable 
C)  second-order, or higher, differences of the dependent variable 
D)  first-order quotients of the dependent variable 
E)  time-lagged values of the independent variable 
A)  time-lagged values of the dependent variable 
B)  first-order differences of the dependent variable 
C)  second-order, or higher, differences of the dependent variable 
D)  first-order quotients of the dependent variable 
E)  time-lagged values of the independent variable

Index numbers facilitate comparison of ____________.

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

The table below shows the prices in $ and quantities (thousands)for five specialized electronic components for 2000 and 2016. If the Paasche price index for 2016 using 2000 as base year is 137.75,then P = ______.

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.

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

One of the ways to overcome the autocorrelation problem in a regression forecasting model is to increase the level of significance for the F test

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

Naïve forecasting models have no useful applications because they do not take into account data trend,cyclical effects or seasonality.

If the Year_t Quarter_q actual value is 9,885 and the Year_t Quarter_q deseasonalized value is 10,112.53,then the Year_t Quarter_q seasonal index is ______.

The table below shows the prices in $ and quantities (thousands)for five specialized electronic components for 2000 and 2016. The Paasche price index for 2016 using 2000 as base year is ______.

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 __________.

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 October made at the end of September in the following time series would be__________.

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

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

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 ____________.

The actual value of a variable for July was 195.The researcher is using exponential smoothing with α = 0.30 and determines that the forecast value for August is 205.5.Then the forecast value for July was ______.

In an autoregressive forecasting model,the independent variable(s)is (are)______.

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

Index numbers facilitate comparison of ____________.

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

The table below shows the prices in $ and quantities (thousands)for five specialized electronic components for 2000 and 2016. If the Paasche price index for 2016 using 2000 as base year is 137.75,then P = ______.

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.

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

One of the ways to overcome the autocorrelation problem in a regression forecasting model is to increase the level of significance for the F test

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

Naïve forecasting models have no useful applications because they do not take into account data trend,cyclical effects or seasonality.

If the Yeart Quarterq actual value is 9,885 and the Yeart Quarterq deseasonalized value is 10,112.53,then the Yeart Quarterq seasonal index is ______.

The table below shows the prices in $ and quantities (thousands)for five specialized electronic components for 2000 and 2016. The Paasche price index for 2016 using 2000 as base year is ______.

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 __________.

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 October made at the end of September in the following time series would be__________.

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

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

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 ____________.

The actual value of a variable for July was 195.The researcher is using exponential smoothing with α = 0.30 and determines that the forecast value for August is 205.5.Then the forecast value for July was ______.

In an autoregressive forecasting model,the independent variable(s)is (are)______.

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 the Year_t Quarter_q actual value is 9,885 and the Year_t Quarter_q deseasonalized value is 10,112.53,then the Year_t Quarter_q seasonal index is ______.