Question 1

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 2

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

Question 3

Use of a smoothing constant value less 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 4

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 forecast value predicted by the model for July 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 5

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 6

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 error terms is presented in the following table.The mean squared error (MSE)for this forecast is ___________.

Accepted Answer

A) -0.50 
B) 0.50 
C) 1.50 
D) 7.00 
E) 3.00 
A) -0.50 
B) 0.50 
C) 1.50 
D) 7.00 
E) 3.00

Question 7

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

Accepted Answer

A) base 
B) current 
C) spanning 
D) intermediate 
E) peak 
A) base 
B) current 
C) spanning 
D) intermediate 
E) peak

Question 8

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

Accepted Answer

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

Question 9

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 November in the following time series would be ____________.

Accepted Answer

A) 24 
B) 21 
C) 21.56 
D) 19.22 
E) 22 
A) 24 
B) 21 
C) 21.56 
D) 19.22 
E) 22

Question 10

Fitting a linear trend to 36 monthly data points (January 2011 = 1,February 2011 =2,March 2011 = 3,etc.)produced the following tables.     The projected trend value for January 2014 is ________.

Accepted Answer

A) 231.39 
B) 555.71 
C) 339.50 
D) 447.76 
E) 355.71 
A) 231.39 
B) 555.71 
C) 339.50 
D) 447.76 
E) 355.71

Question 11

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

Accepted Answer

A) True 
 B)False

Question 12

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 13

If the trend equation is quadratic in time t=1….T,the forecast value for the next time T+1 depends on time T.

Accepted Answer

A) True 
 B)False

Question 14

Autocorrelation in a regression forecasting model can be detected by the F test.

Accepted Answer

A) True 
 B)False

Question 15

Fitting a linear trend to 36 monthly data points (January 2011 = 1,February 2011 =2,March 2011 = 3,etc.)produced the following tables.     The projected trend value for January 2014 is ________.

Accepted Answer

A) 544.29 
B) 868.61 
C) 652.39 
D) 760.50 
E) 876.90 
A) 544.29 
B) 868.61 
C) 652.39 
D) 760.50 
E) 876.90

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

Index numbers facilitate comparison of ____________.

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

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 forecast value predicted by the model for July is __________.

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 ________.

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 error terms is presented in the following table.The mean squared error (MSE)for this forecast is ___________.

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

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

Fitting a linear trend to 36 monthly data points (January 2011 = 1,February 2011 =2,March 2011 = 3,etc.)produced the following tables. The projected trend value for January 2014 is ________.

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

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

If the trend equation is quadratic in time t=1….T,the forecast value for the next time T+1 depends on time T.

Autocorrelation in a regression forecasting model can be detected by the F test.

Fitting a linear trend to 36 monthly data points (January 2011 = 1,February 2011 =2,March 2011 = 3,etc.)produced the following tables. The projected trend value for January 2014 is ________.

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

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

Index numbers facilitate comparison of ____________.

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

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 forecast value predicted by the model for July is __________.

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 ________.

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 error terms is presented in the following table.The mean squared error (MSE)for this forecast is ___________.

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

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

Fitting a linear trend to 36 monthly data points (January 2011 = 1,February 2011 =2,March 2011 = 3,etc.)produced the following tables. The projected trend value for January 2014 is ________.

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

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

If the trend equation is quadratic in time t=1….T,the forecast value for the next time T+1 depends on time T.

Autocorrelation in a regression forecasting model can be detected by the F test.

Fitting a linear trend to 36 monthly data points (January 2011 = 1,February 2011 =2,March 2011 = 3,etc.)produced the following tables. The projected trend value for January 2014 is ________.

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