Question 1

For the third quarter, the sales are 1,000 units; the seasonal index for the quarter is 0.85. What are the deseasonalized sales for the quarter?

Accepted Answer

A)  1,176. 
B)  1,000. 
C)  850. 
D)  0.15. 
A)  1,176. 
B)  1,000. 
C)  850. 
D)  0.15.

Question 2

The trend forecast equation is Ŷ = 50+ 420t. The next forecast is for period 10. The typical seasonal index for period 10 is 0.82. What are the forecast sales for period 10?

Accepted Answer

A)  4,200 
B)  4,250 
C)  4,000 
D)  3,485 
A)  4,200 
B)  4,250 
C)  4,000 
D)  3,485

Question 3

The trend forecast equation is Ŷ = 100 + 120t. The next forecast is for period 8. The typical seasonal index for period 8 is 1.15. What are the forecast sales for period 8?

Accepted Answer

A)  1,060 
B)  1,219 
C)  960 
D)  1,075 
A)  1,060 
B)  1,219 
C)  960 
D)  1,075

Question 4

For the third quarter, the sales are 2,500 units; the seasonal index for the quarter is 0.95. What are the deseasonalized sales for the quarter?

Accepted Answer

A)  1,600 
B)  2,632 
C)  2,080 
D)  2,500 
A)  1,600 
B)  2,632 
C)  2,080 
D)  2,500

Question 5

What is the difference between seasonal and cyclical variation in a time series?

Accepted Answer

Seasonal variation o

Question 6

In the linear trend equation, what variable represents the Y-intercept? ______

Accepted Answer

The answer of In the linear trend equation, what variable...

Question 7

Given the trend equation, Ŷ = 25 + 0.6t (base year = 2006), what would be the forecast value for 2010?

Accepted Answer

A)  25 
B)  28 
C)  30 
D)  32 
A)  25 
B)  28 
C)  30 
D)  32

Question 8

When the null hypothesis is rejected based on the Durbin-Watson statistic, what types of problems occur in regression analysis?

Accepted Answer

The hypothesis tests of the in

Question 9

The forecast for the third quarter is 2,000 units; the seasonal index for the quarter is 1.18. What are the seasonally adjusted sales for the quarter?

Accepted Answer

A)  2,000 
B)  2,018 
C)  2,118 
D)  2,360 
A)  2,000 
B)  2,018 
C)  2,118 
D)  2,360

Question 10

What two types of irregular variations are unpredictable? ______________________ and _____________________

Accepted Answer

The answer of What two types of irregular variations are...

Question 11

A resort hotel performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes:
Ŷ = 1000 + 150t   Using the trend line equation and the seasonal indexes, predict demand for the third quarter of the next year, i.e., period 23.
4,450

Accepted Answer

The answer of A resort hotel performed a quarterly time...

Question 12

The trend forecast equation is Ŷ = 120+ 100t. The next forecast is for period 8. The typical seasonal index for period 8 is 0.80. What are the forecast sales for period 8?

Accepted Answer

A)  736 
B)  920 
C)  800 
D)  640 
A)  736 
B)  920 
C)  800 
D)  640

Question 13

In a linear trend equation, t is a coded value that corresponds with a time period in a time series.

Accepted Answer

A) True 
 B)False

Question 14

A time series is a collection of data that:

Accepted Answer

A)  records past performance 
B)  records future performance 
C)  is limited to yearly data 
D)  is limited to quarterly data 
A)  records past performance 
B)  records future performance 
C)  is limited to yearly data 
D)  is limited to quarterly data

Question 15

Autocorrelation can be corrected by using a ________.

Accepted Answer

The answer of Autocorrelation can be corrected by using a...

Question 16

What method is useful in smoothing out a time series? ______________

Accepted Answer

The answer of What method is useful in smoothing out...

Question 17

The following linear trend equation was developed for annual sales from 2005 to 2009, with 2005 as the base year.   = 500 + 60t (in $thousands). What are the estimated sales for 2010 (in $thousands)?

Accepted Answer

A)  $500 
B)  $860 
C)  $1,040 
D)  $1,100 
A)  $500 
B)  $860 
C)  $1,040 
D)  $1,100

Question 18

To compute a forecast for a time series with seasonality, the trended forecast is computed and then adjusted by multiplying by a ________.

Accepted Answer

The answer of To compute a forecast for a time...

Question 19

A useful method for smoothing a time series to examine trend is called a ______.

Accepted Answer

The answer of A useful method for smoothing a time...

Question 20

Using the following time series data,   What is the four-quarter moving average for the period ending with the second quarter in 2010?

Accepted Answer

The answer of Using the following time series data, ...

For the third quarter, the sales are 1,000 units; the seasonal index for the quarter is 0.85. What are the deseasonalized sales for the quarter?

The trend forecast equation is Ŷ = 50+ 420t. The next forecast is for period 10. The typical seasonal index for period 10 is 0.82. What are the forecast sales for period 10?

The trend forecast equation is Ŷ = 100 + 120t. The next forecast is for period 8. The typical seasonal index for period 8 is 1.15. What are the forecast sales for period 8?

For the third quarter, the sales are 2,500 units; the seasonal index for the quarter is 0.95. What are the deseasonalized sales for the quarter?

What is the difference between seasonal and cyclical variation in a time series?

In the linear trend equation, what variable represents the Y-intercept? ______

Given the trend equation, Ŷ = 25 + 0.6t (base year = 2006), what would be the forecast value for 2010?

When the null hypothesis is rejected based on the Durbin-Watson statistic, what types of problems occur in regression analysis?

The forecast for the third quarter is 2,000 units; the seasonal index for the quarter is 1.18. What are the seasonally adjusted sales for the quarter?

What two types of irregular variations are unpredictable? __ and _

The trend forecast equation is Ŷ = 120+ 100t. The next forecast is for period 8. The typical seasonal index for period 8 is 0.80. What are the forecast sales for period 8?

In a linear trend equation, t is a coded value that corresponds with a time period in a time series.

A time series is a collection of data that:

Autocorrelation can be corrected by using a ________.

What method is useful in smoothing out a time series? ______________

The following linear trend equation was developed for annual sales from 2005 to 2009, with 2005 as the base year. = 500 + 60t (in $thousands). What are the estimated sales for 2010 (in $thousands)?

To compute a forecast for a time series with seasonality, the trended forecast is computed and then adjusted by multiplying by a ________.

A useful method for smoothing a time series to examine trend is called a ______.

Using the following time series data, What is the four-quarter moving average for the period ending with the second quarter in 2010?

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Multiple Regression Analysis

Index Numbers

Nonparametric Methods: Goodness-Of-Fit Tests

Nonparametric Methods: Analysis of Ranked Data

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

Exam 16: Time Series and Forecasting

For the third quarter, the sales are 1,000 units; the seasonal index for the quarter is 0.85. What are the deseasonalized sales for the quarter?

The trend forecast equation is Ŷ = 50+ 420t. The next forecast is for period 10. The typical seasonal index for period 10 is 0.82. What are the forecast sales for period 10?

The trend forecast equation is Ŷ = 100 + 120t. The next forecast is for period 8. The typical seasonal index for period 8 is 1.15. What are the forecast sales for period 8?

For the third quarter, the sales are 2,500 units; the seasonal index for the quarter is 0.95. What are the deseasonalized sales for the quarter?

What is the difference between seasonal and cyclical variation in a time series?

In the linear trend equation, what variable represents the Y-intercept? ______

Given the trend equation, Ŷ = 25 + 0.6t (base year = 2006), what would be the forecast value for 2010?

When the null hypothesis is rejected based on the Durbin-Watson statistic, what types of problems occur in regression analysis?

The forecast for the third quarter is 2,000 units; the seasonal index for the quarter is 1.18. What are the seasonally adjusted sales for the quarter?

What two types of irregular variations are unpredictable? ______________________ and _____________________

The trend forecast equation is Ŷ = 120+ 100t. The next forecast is for period 8. The typical seasonal index for period 8 is 0.80. What are the forecast sales for period 8?

In a linear trend equation, t is a coded value that corresponds with a time period in a time series.

A time series is a collection of data that:

Autocorrelation can be corrected by using a ________.

What method is useful in smoothing out a time series? ______________

The following linear trend equation was developed for annual sales from 2005 to 2009, with 2005 as the base year. = 500 + 60t (in $thousands). What are the estimated sales for 2010 (in $thousands)?

To compute a forecast for a time series with seasonality, the trended forecast is computed and then adjusted by multiplying by a ________.

A useful method for smoothing a time series to examine trend is called a ______.

Using the following time series data, What is the four-quarter moving average for the period ending with the second quarter in 2010?

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Multiple Regression Analysis

Index Numbers

Nonparametric Methods: Goodness-Of-Fit Tests

Nonparametric Methods: Analysis of Ranked Data

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

What two types of irregular variations are unpredictable? __ and _