| 1 |
For a least squares linear trend ŷ = a + bx, the Σ(y-ŷ)<sup>2</sup> = 0 when |
- A. all the y-values lie on the line
- B. all the y-values are positive
- C. all the y-+values lie above the line
- D. none of these
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| 2 |
The sum of deviations=Σ(y-ŷ) = |
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| 3 |
In the measurement of secular trend the moving averages |
- A. give the trend in a straight line
- B. measure the seasonal variations
- C. smoothes out a time series
- D. measure irregular fluctuations
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| 4 |
In time series seasonal variations can occur within a period of: |
- A. Nine years
- B. Four Years
- C. Three years
- D. One year
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| 5 |
Sum of squares of residuals is denoted by |
- A. ∑<i>e</i>
- B. ∑<i>e</i><sup>2</sup>
- C. ∑<i>e</i><sup>3</sup>
- D. <span style="font-size: 14.399999618530273px;">∑</span><i style="font-size: 14.399999618530273px;">e</i><sup>4</sup>
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| 6 |
The secular trend is measured by the method of semi-averages when |
- A. time series contains yearly values
- B. trend is linear
- C. time series contains odd number of values
- D. none of these
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| 7 |
The multiplicative time series model is: |
- A. Y = T + S + C + I
- B. TSCI
- C. Y = a + bX
- D. Y = a + bX + cX<sup>2</sup>
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| 8 |
The basic components of a time series are: |
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| 9 |
For a least squares line trend Y = a + bx, the b is the: |
- A. Intercept
- B. Slope
- C. Variable
- D. Trend
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| 10 |
For a least squares linear trend=ŷ = a + bx, b is the |
- A. variable
- B. intercept
- C. trend
- D. slope
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