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1 | | The index number for the price of gasoline in 2002 was 142 and in 2003, it was 148.5, on a base year of 1994. What is the percent increase in price of gasoline from 2002 to 2003? |
| | A) | 4.377% |
| | B) | 4.577% |
| | C) | 95.62% |
| | D) | 6.5% |
| | E) | none of the above |
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2 | | A pattern of variation of a time series that repeats every year is called: |
| | A) | Cyclical |
| | B) | Seasonal |
| | C) | Trend |
| | D) | Secular |
| | E) | none of the above |
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3 | | Which of the following is not an example of seasonal variation? |
| | A) | sales of snow blowers |
| | B) | plant and flower sales |
| | C) | use of electricity |
| | D) | sales of suntan oil |
| | E) | annual earnings for a large corporation |
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4 | |
Calculate a three-day moving average for the price of stock, for Tuesday through Thursday. (6.0K) |
| | A) | 53.50 |
| | B) | 54.10 |
| | C) | 90.17 |
| | D) | 54.00 |
| | E) | none of the above |
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5 | |
The data given below are quarterly sales for a large computer firm, in $100,000s. (6.0K)Compute the four-quarter moving average for the first four quarters and center it at the third quarter. |
| | A) | 114.25 |
| | B) | 119.25 |
| | C) | 116.75 |
| | D) | 119.50 |
| | E) | none of the above |
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6 | |
The following are stock prices for a given group of stocks on the Dow Jones. Compute the forecast for day 3 using the exponential smoothing method, with w = .4. (5.0K) |
| | A) | 800 |
| | B) | 810 |
| | C) | 814 |
| | D) | 815 |
| | E) | none of the above |
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7 | |
The following are median sales prices of existing single family homes (in thousands of dollars): (4.0K)Using 2000 as the base year, what is the index of home prices in 2003? |
| | A) | 118.9 |
| | B) | 111.6 |
| | C) | 104.48 |
| | D) | 100.00 |
| | E) | none of the above |
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8 | |
The following data is the weekly average exchange rate for the dollar against the German Mark. (4.0K)Compute the simple index number for week 6, using week 1 as the base week. |
| | A) | 93.33 |
| | B) | 107.14 |
| | C) | 110 |
| | D) | 254.1 |
| | E) | none of the above |
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9 | |
The following is the quarterly payroll of a company (in thousands of dollars). Construct an exponential smoothing model, using w = .7, and predict the payroll for the next quarter. 95, 94, 92, 88, 83, 93
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| | A) | 93 |
| | B) | 90 |
| | C) | 90.58 |
| | D) | 90.95 |
| | E) | none of the above |
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10 | |
The average credit bill of the customers of a particular organization have been as follows over the last few years: (6.0K)Estimate a linear trend line for this data. Use this trend line to predict credit balances of customers for the year 2004. |
| | A) | 698.22 |
| | B) | 401.89 |
| | C) | 320.08 |
| | D) | 721.97 |
| | E) | none of the above |
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11 | | The Consumer Price Index is an example of which type of index? |
| | A) | simple |
| | B) | composite |
| | C) | multiple |
| | D) | regression |
| | E) | none of the above |
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12 | | Demand for seats in a university is at its highest in the fall; demand also tends to grow and fall off in 25-year waves. In time-series forecasting, the former demand characteristic would be called __________ and the latter would be called __________. |
| | A) | Seasonality: cyclicality |
| | B) | Cyclicality; seasonality |
| | C) | Variability: randomality |
| | D) | Randomality; seasonality |
| | E) | Seasonality; variability |
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