| 1 |
The sum of deviations=Σ(y-ŷ) = |
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| 2 |
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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| 3 |
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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| 4 |
The method of least square gives too much weight to extremely large deviations from the |
- A. population
- B. parameter
- C. sample
- D. trend
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| 5 |
The equation of the quadratic (parabolic) trend is |
- A. ŷ=a+bx
- B. ŷ=a+by
- C. ŷ=a+bΣx+cΣx<sup>2</sup>
- D. ŷ=a+bx+cx<sup>2</sup>
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| 6 |
In a straight line equation Y = a + bX; a is the: |
- A. X - intercept
- B. Slope
- C. Y- intercept
- D. None of them
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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 additive model of the time series 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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| 9 |
The basic components of a time series are: |
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| 10 |
The rise and fall of a time series periods longer than one- year is called. |
- A. Secular trend
- B. Seasonal variation
- C. Cyclical variation
- D. Irregular variation
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