Multiple Choice
Concerning a seasonal index for monthly data, which statement is incorrect?
A) A multiplicative index value of 1.000 indicates no seasonal deviation from trend.
B) Additive indexes are adjusted so they always sum to 12.
C) To make forecasts, we multiply the trend by each month's seasonal index.
D) Seasonal indexes are obtained by the process called decomposition of a time series.
Correct Answer:
Verified
Correct Answer:
Verified
Q12: The quadratic model can never have more
Q13: The shape of the fitted quadratic model
Q14: For the fitted time-series trend model y<sub>t</sub>
Q15: If the trend model y<sub>t</sub> = a
Q16: Moving average models are causal models (as
Q18: Bob analyzed the trend in the value
Q19: In exponential smoothing, using α = .20
Q20: Quarterly seasonal factors will sum to 4.
Q21: If a trend is given by y<sub>t</sub>
Q22: Suppose the estimated quadratic model y<sub>t</sub> =