| 1 |
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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| 2 |
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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| 3 |
The sum of deviations=Σ(y-ŷ) = |
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| 4 |
The unsystematic sequence which follows irregular pattern of variations is called: |
- A. Noise
- B. Signal
- C. Linear
- D. Non-linear
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| 5 |
For a least squares linear trend Y = a + bx, the Σ(Y - Y)<sup>2</sup> = 0 when: |
- A. All the Y-values are positive
- B. All the Y-values lie on the line
- C. All the Y-values lie above the line
- D. None of these
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| 6 |
In moving average method, we cannot find the trend values of some: |
- A. Middle periods
- B. End periods
- C. Starting periods
- D. Between extreme periods
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| 7 |
The least squares estimates are unbiased estimates of the |
- A. statistic
- B. time series
- C. parameters
- D. variance
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| 8 |
Methods of semi-averages gives an |
- A. accurate result
- B. objective result
- C. authentic result
- D. none of these
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| 9 |
The systematic components of time series which follow regular pattern of variations are called: |
- A. Noise
- B. Signal
- C. Additive model
- D. Multiplicative model
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| 10 |
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
|