Exam 16: Time Series and Forecasting
Exam 1: What Is Statistics79 Questions
Exam 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation87 Questions
Exam 3: Describing Data: Numerical Measures191 Questions
Exam 4: A Survey of Probability Concepts130 Questions
Exam 5: Discrete Probability Distributions121 Questions
Exam 6: Continuous Probability Distributions143 Questions
Exam 7: Sampling Methods and the Central Limit Theorem78 Questions
Exam 8: Estimation and Confidence Intervals134 Questions
Exam 9: One-Sample Tests of Hypothesis139 Questions
Exam 10: Two-Sample Tests of Hypothesis103 Questions
Exam 11: Analysis of Variance97 Questions
Exam 12: Linear Regression and Correlation166 Questions
Exam 13: Multiple Regression and Correlation Analysis128 Questions
Exam 14: Chi-Square Applications126 Questions
Exam 15: Index Numbers93 Questions
Exam 16: Time Series and Forecasting90 Questions
Exam 17: An Introduction to Decision Theory54 Questions
Select questions type
A logarithmic straight-line trend equation should be used for forecasts when the time series is increasing by?
(Multiple Choice)
4.7/5
(31)
i. A typical monthly seasonal index of 107.0 indicates that sales (or whatever the variable is) are 107 percent above the annual average. ii. The ratio-to-moving average method removes the time series trend component, resulting in 12 numbers that are called specific seasonals.
iii. The total of the four typical quarterly indexes should equal 100.0.
(Multiple Choice)
5.0/5
(43)
i. Using the ratio-to-moving-average method, dividing the actual sales for a month by the typical seasonal for that month results in a figure that includes only trend, cycle and irregular fluctuations. This procedure is called deseasonalizing the sales. ii. The reason for deseasonalizing a sales series is to remove trend and cyclical fluctuations so that we can study seasonal fluctuations.
iii. Knowing the seasonal pattern in the form of indexes allows the retailer to deseasonalize sales.
(Multiple Choice)
4.9/5
(46)
i. A typical monthly seasonal index of 107.0 indicates that sales (or whatever the variable is) are 7 percent above the annual average. ii. For a quarterly time series, the initial step, using the ratio-to-moving average method, is to remove the seasonal components from the time series using a 3-month centered moving average.
iii. In the final step, using the ratio-to-moving-average method on quarterly data, the total of the modified means should theoretically be equal to 400 because the average of should be 100.
(Multiple Choice)
4.9/5
(30)
A plastics manufacturing 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:
= 920.0 + 22.6 t
Using the trend line question and the seasonal indexes, predict demand for the third period of the next year, i.e., period 23.


(Multiple Choice)
4.8/5
(24)
If the exports ($ millions) for the period 1997 through 2001 were $878, $892, $864, $870, and $912 respectively, what are these values called?
(Multiple Choice)
4.8/5
(30)
What time series component was exemplified during the 1980s when the World economy enjoyed a period of prosperity?
(Multiple Choice)
4.9/5
(36)
i. In a time series analysis, the letter "a" in the linear trend equation, is the value of
when t = 0. ii. In the linear trend equation, t is any value that corresponds with a time period, i.e., month or quarter.
iii. If the sales, production or other data over a period of time tend to approximate a straight-line trend, the equation developed by the least squares method cannot be used to forecast sales for a future period.

(Multiple Choice)
4.8/5
(37)
Listed below is the net sales in $ million for Home Depot Inc., and its subsidiaries from 1994 to 2003.
Using the printout below, what are the estimated sales for 2008?



(Multiple Choice)
4.8/5
(34)
i. The moving average method averages out cyclical (C) and irregular (I) components. ii. To apply the moving average method to a time series, the data should follow a linear trend and have a definite rhythmic pattern of fluctuations that repeat (say, every three years).
iii. Sales, production and other economic and business series usually have periods of oscillation that are of equal length or identical amplitudes.
(Multiple Choice)
4.9/5
(32)
Showing 81 - 90 of 90
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)