| 1 |
The straight line is fitted to a time series when the movements in the time series are |
- A. linear
- B. quadratic
- C. cubic
- D. constant
|
| 2 |
In a straight line equation Y = a + bX; a is the: |
- A. X - intercept
- B. Slope
- C. Y- intercept
- D. None of them
|
| 3 |
The systematic components of time series which follow regular pattern of variations are called: |
- A. Noise
- B. Signal
- C. Additive model
- D. Multiplicative model
|
| 4 |
For a least squares linear trend=ŷ = a + bx, b is the |
- A. variable
- B. intercept
- C. trend
- D. slope
|
| 5 |
For a least squares linear trend=ŷ= a + b x, |
- A. Σy <Σŷ
- B. Σŷ = 0
- C. Σy =Σŷ
- D. none of these
|
| 6 |
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
|
| 7 |
The graph of a time series is called |
- A. histogram
- B. polygon
- C. straight line
- D. historigram
|
| 8 |
The least squares estimates are unbiased estimates of the |
- A. statistic
- B. time series
- C. parameters
- D. variance
|
| 9 |
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
|
| 10 |
The elimination or addition of a few more time periods may change its |
- A. speed
- B. value
- C. direction
- D. none of these
|
