| 1 |
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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| 2 |
For a least squares linear trend Y = a + bX |
- A. ΣY = ΣY
- B. ΣY = 0
- C. ΣY > ΣY
- D. None of them
|
| 3 |
For a least squares line trend Y = a + bx, the b is the: |
- A. Intercept
- B. Slope
- C. Variable
- D. Trend
|
| 4 |
The graph of a time series is called |
- A. histogram
- B. polygon
- C. straight line
- D. historigram
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| 5 |
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
|
| 6 |
In the measurement of secular trend the moving averages: |
- A. Give the trend in a straight line
- B. Measure the seasonal variations
- C. Smooth out a time series
- D. None of these
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| 7 |
Which one is a rough and crude method for measuring secular trend ? |
- A. free hand curve method
- B. semi average method
- C. moving averages method
- D. least square method
|
| 8 |
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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| 9 |
The basic components of a time series are: |
|
| 10 |
The least squares estimates are unbiased estimates of the |
- A. statistic
- B. time series
- C. parameters
- D. variance
|