Exam 14: Time-Series Forecasting and Index Numbers
Exam 1: Introduction and Data Collection131 Questions
Exam 2: Presenting Data in Tables and Charts178 Questions
Exam 3: Numerical Descriptive Measures148 Questions
Exam 4: Basic Probability146 Questions
Exam 5: Some Important Discrete Probability Distributions169 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions187 Questions
Exam 7: Sampling Distributions183 Questions
Exam 8: Confidence Interval Estimation176 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests167 Questions
Exam 10: Hypothesis Testing: Two Sample Tests160 Questions
Exam 11: Analysis of Variance141 Questions
Exam 12: Simple Linear Regression196 Questions
Exam 13: Introduction to Multiple Regression256 Questions
Exam 14: Time-Series Forecasting and Index Numbers203 Questions
Exam 15: Chi-Square Tests135 Questions
Exam 16: Multiple Regression Model Building92 Questions
Exam 17: Decision Making111 Questions
Exam 18: Statistical Applications in Quality and Productivity Management127 Questions
Exam 19: Further Non-Parametric Tests51 Questions
Select questions type
In the Holt-Winters method of forecasting,to give more weight to recent levels of the time series,you would use ________.
Free
(Short Answer)
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Correct Answer:
a smaller value for the smoothing constant U
The Paasche price index uses the consumption quantities in the year of interest as the weights.
Free
(True/False)
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Correct Answer:
True
Instruction 14-13
The manager of a marketing consulting firm has been examining his company's yearly profits.He believes that these profits have been showing a quadratic trend since 1990.He uses Microsoft Excel to obtain the partial output below.The dependent variable is profit (in thousands of dollars),while the independent variables are coded years and squared of coded years,where 1990 is coded as 0,1991 is coded as 1,etc.
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.998 R Square 0.996 Adjusted R Square 0.996 Standard Error 4.996 Observations 17
Coefficients
Intercept
Coded Year
Year Squared 1.00
-Referring to Instruction 14-13,the fitted value for 1990 is ________.
Free
(Short Answer)
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Correct Answer:
35.5 or $35,500
Instruction 14-5
A local store developed a multiplicative time-series model to forecast its revenues in future quarters,using quarterly data on its revenues during the 4-year period from 2005 to 2009.The following is the resulting regression equation:
log 10 = 6.102 + 0.012 X - 0.129 Q1 - 0.054 Q2 + 0.098 Q3
Where
is the estimated number of contracts in a quarter
X is the coded quarterly value with X = 0 in the first quarter of 2005.
Q1 is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.
Q2 is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.
Q3 is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise.
-Referring to Instruction 14-5,the best interpretation of the coefficient of Q2 (-0.054)in the regression equation is
(Multiple Choice)
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To convert actual dollars to real dollars,multiple each dollar value in a time series by ________.
(Short Answer)
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Instruction 14-9
The number of cases of merlot wine sold by a Barossa Valley Winery in an 8-year period follows.
Year Cases of Wine 2003 270 2004 356 2005 398 2006 456 2007 358 2008 500 2009 410 2010 376
-Referring to Instruction 14-9,plot both the wine sales series and the series of Holt-Winters forecast for 2011 to 2014 using a smoothing constant of 0.2 for both level and trend.
(Essay)
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Instruction 14-13
The manager of a marketing consulting firm has been examining his company's yearly profits.He believes that these profits have been showing a quadratic trend since 1990.He uses Microsoft Excel to obtain the partial output below.The dependent variable is profit (in thousands of dollars),while the independent variables are coded years and squared of coded years,where 1990 is coded as 0,1991 is coded as 1,etc.
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.998 R Square 0.996 Adjusted R Square 0.996 Standard Error 4.996 Observations 17
Coefficients
Intercept
Coded Year
Year Squared 1.00
-Referring to Instruction 14-13,the fitted value for 1995 is ________.
(Short Answer)
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Instruction 14-4
A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters,using quarterly data on number of contracts during the 3-year period from 2008 to 2010.The following is the resulting regression equation:
Where
is the estimated number of contracts in a quarter
X is the coded quarterly value with X = 0 in the first quarter of 2008.
Q1 is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.
Q2 is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.
Q3 is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise.
-Referring to Instruction 14-4,in testing the coefficient for Q1 in the regression equation (-0.083),the results were a t-statistic of -0.66 and an associated p-value of 0.530.Which of the following is the best interpretation of this result?
(Multiple Choice)
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Instruction 14-21
Given below are the average prices for three types of energy products in Australia from 2006 to 2010.
Year Electricity Natural Gas Fuel Oil 2006 43.205 25.893 0.892 2007 16.959 28.749 0.969 2008 47.202 28.933 1.034 2009 48.874 29.872 0.913 2010 48.693 28.384 0.983
-Referring to Instruction 14-21,what are the simple price indexes for electricity,natural gas and fuel oil,respectively,in 2009 using 2006 as the base year?
(Short Answer)
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Instruction 14-5
A local store developed a multiplicative time-series model to forecast its revenues in future quarters,using quarterly data on its revenues during the 4-year period from 2005 to 2009.The following is the resulting regression equation:
log 10 = 6.102 + 0.012 X - 0.129 Q1 - 0.054 Q2 + 0.098 Q3
Where
is the estimated number of contracts in a quarter
X is the coded quarterly value with X = 0 in the first quarter of 2005.
Q1 is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.
Q2 is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.
Q3 is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise.
-Referring to Instruction 14-5,the estimated quarterly compound growth rate in revenues is around
(Multiple Choice)
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The fairly regular fluctuations that occur within each year would be contained in the ________ component.
(Multiple Choice)
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Instruction 14-10
The number of train passengers arriving in Adelaide on the Overland on 6 successive Mondays were: 60,72,96,84,36,and 48.
-Referring to Instruction 14-10,the number of arrivals will be smoothed with a 3-term moving average.There will be a total of ________ smoothed values.
(Short Answer)
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Instruction 14-9
The number of cases of merlot wine sold by a Barossa Valley Winery in an 8-year period follows.
Year Cases of Wine 2003 270 2004 356 2005 398 2006 456 2007 358 2008 500 2009 410 2010 376
-Referring to Instruction 14-9,a centred 5-year moving average is to be constructed for the wine sales.The moving average for 2005 is ________.
(Short Answer)
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Instruction 14-17
The monthly advertising expenditures of a department store chain (in $1,000,000s)were collected over the last decade.The last 14 months of this time series follows:
Month Expenditures (\ ) 1 1.4 2 1.8 3 1.6 4 1.5 5 1.8 6 1.7 7 1.9 8 2.2 9 1.9 10 1.9 11 2.1 12 2.4 13 2.8 14 3.1
-Referring to Instruction 14-17,set up a scatter diagram (i.e. ,time-series plot)with months on the horizontal X-axis.
(Essay)
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Instruction 14-9
The number of cases of merlot wine sold by a Barossa Valley Winery in an 8-year period follows.
Year Cases of Wine 2003 270 2004 356 2005 398 2006 456 2007 358 2008 500 2009 410 2010 376
-Referring to Instruction 14-9,construct a centred 5-year moving average for the wine sales.
(Essay)
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Instruction 14-9
The number of cases of merlot wine sold by a Barossa Valley Winery in an 8-year period follows.
Year Cases of Wine 2003 270 2004 356 2005 398 2006 456 2007 358 2008 500 2009 410 2010 376
-Referring to Instruction 14-9,exponential smoothing with a weight or smoothing constant of 0.2 will be used to forecast wine sales.The forecast for 2011 is ________.
(Short Answer)
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Instruction 14-12
The executive vice-president of a drug manufacturing firm believes that the demand for the firm's most popular drug has been evidencing an exponential trend since 1995.She uses Microsoft Excel to obtain the partial output below.The dependent variable is the log base 10 of the demand for the drug,while the independent variable is years,where 1995 is coded as 0,1996 is coded as 1,etc.
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.996 R Square 0.992 Adjusted R Square 0.991 Standard Error 0.02831
Observations 12
Coefficients
Intercept 1.44 Coded Year 0.068
-Referring to Instruction 14-12,the fitted trend value for 2000 is ________.
(Short Answer)
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Which of the following is NOT an advantage of exponential smoothing?
(Multiple Choice)
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Instruction 14-19
The number of train passengers arriving in Adelaide on the Overland on 6 successive Mondays were: 60,72,96,84,36,and 48.
-Referring to Instruction 14-19,use the Holt-Winters method of fitting number of arrivals to compute the smoothed level and trend with a smoothing constant of 0.3 for both level and trend.
(Essay)
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