A stationary time-series data has only trend, but no cyclical or seasonal effects.
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Q2: If autocorrelation occurs in regression analysis, then
Q3: Although seasonal effects can confound a trend
Q4: Naïve forecasting models have no useful applications
Q5: One of the main techniques for isolating
Q6: An exponential smoothing technique in which the
Q7: If the trend equation is linear in
Q8: One of the main techniques for isolating
Q9: For large datasets, the mean error (ME)and
Q10: When the error terms of a regression
Q11: If the trend equation is quadratic in
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