Exam 20: Time-Series Analytics and Forecasting
Exam 1: What Is Statistics46 Questions
Exam 2: Graphical Descriptive Techniques 194 Questions
Exam 3: Graphical Descriptive Techniques 2156 Questions
Exam 4: Numerical Descriptive Techniques275 Questions
Exam 5: Data Collection and Sampling84 Questions
Exam 6: Probability240 Questions
Exam 7: Random Variables and Discrete Probability Distributions283 Questions
Exam 8: Continuous Probability Distributions224 Questions
Exam 9: Sampling Distributions156 Questions
Exam 10: Introduction to Estimation154 Questions
Exam 11: Introduction to Hypothesis Testing189 Questions
Exam 12: Inference About a Population153 Questions
Exam 13: Inference About Comparing Two Populations170 Questions
Exam 14: Analysis of Variance157 Questions
Exam 15: Chi-Squared Tests179 Questions
Exam 16: Simple Linear Regression and Correlation304 Questions
Exam 17: Multiple Regression160 Questions
Exam 18: Model Building148 Questions
Exam 19: Nonparametric Statistics175 Questions
Exam 20: Time-Series Analytics and Forecasting225 Questions
Exam 21: Statistical Process Control140 Questions
Exam 22: Decision Analysis123 Questions
Exam 23: Conclusion47 Questions
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If the time series is composed of seasonal variation and long-term trend,we can use seasonal indexes and the regression equation to forecast.
(True/False)
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A least squares linear trend line is just a simple regression line with the years recoded.
(True/False)
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In time series regressions the seasonal variation may occur within a year or within shorter intervals,such as a month,
week,or day.
(True/False)
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In determining monthly seasonal indexes for gas consumption,the sum of the 12 means for gas consumption as a percentage of the moving average is 1150.To get the seasonal indexes,each of the 12 monthly means is to be multiplied by:
(Multiple Choice)
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The most commonly used measures of forecast accuracy are ____________________ and the sum of squares for forecast errors (SSE).
(Short Answer)
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Holiday Hours
The total holiday hours (in 1000s)were recorded for 16 quarters in a large steel mill as shown below.
-{Holiday Hours Narrative} Use the regression technique to calculate the linear trend line.

(Essay)
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Which of the following statements about moving averages is not true?
(Multiple Choice)
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A local newspaper that appears six days per week wanted to forecast two-day revenues from its business services classified ads section.The revenues (in $1,000s)were recorded for the past 52 weeks.From these data,the following regression equation was computed:
= 2000 + 0.6t− 150D1− 40D2 (t = 1,2,3,...,156)
where
and
Forecast the two-day revenues for the next week.



(Essay)
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The term b1 in the equation
= b0 + b1t + b2Q1 + b3Q2 +b4Q3,where
represents the predicted value of y at time t,is:


(Multiple Choice)
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An estimated second-order autoregressive model for average mortgage rate is:
.If the average mortgage rate in 2003 was 7.0,and in 2002 was 6.5,the forecast for 2004 is ____________________,and for 2005 is ____________________.

(Short Answer)
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Microprocessors
Annual production (in millions)of computer microprocessors in a large electronics company was recorded as shown below
-{Microprocessors Narrative} Describe the cyclical effect (if there is one).

(Essay)
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Cyclical variation,one of the four different components of a time series,is more likely to exhibit business cycles that record periods of economic recession and inflation.
(True/False)
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If we want to measure the seasonal variations on stock market performance by quarter,we would need:
(Multiple Choice)
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In determining weekly seasonal indexes for gas consumption,the sum of the 52 means for gas consumption as a percentage of the moving average is 5050.To get the seasonal indexes,each weekly mean is to be multiplied by:
(Multiple Choice)
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The actual and forecast values of a time series are shown below.
a.Calculate the mean absolute deviation (MAD).
b.Calculate the sum of squares for forecast error (SSE)

(Essay)
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The easiest way of measuring the long-term trend is by regression analysis,where time is the ____________________ variable.
(Short Answer)
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The following are the values of a time series for the first four time periods:
Using exponential smoothing,with w = 0.30,the forecasted value for time period 5 is:

(Multiple Choice)
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The overall upward or downward pattern of the data in an annual time series will be contained in which component of the time series?
(Multiple Choice)
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The model yt = Tt + Ct + St + Rt + εt that assumes the time series value at time t is the sum of the four time series components Tt,Ct,St,and Rt is referred to as:
(Multiple Choice)
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