The focus of smoothing methods is to smooth wide seasonal variations significant

Question

1. The focus of smoothing methods is to smooth wide seasonal variations significant trend effects long range forecasts the irregular component If data for a time series analysis is collected on an annual basis only, which component may be ignored? seasonal cyclical irregular trend Short-term, unanticipated, and nonrecurring factors in a time series provide the random variability known as the forecast error the residuals the irregular component uncertainty

1. The focus of smoothing methods is to smooth wide seasonal variations significant trend effects long range forecasts the irregular component If data for a time series analysis is collected on an annual basis only, which component may be ignored? seasonal cyclical irregular trend Short-term, unanticipated, and nonrecurring factors in a time series provide the random variability known as the forecast error the residuals the irregular component uncertainty

The focus of smoothing methods is to smooth wide seasonal variations significant trend effects long range forecasts the irregular component If data for a time series analysis is collected on an annual basis only, which component may be ignored? seasonal cyclical irregular trend Short-term, unanticipated, and nonrecurring factors in a time series provide the random variability known as the forecast error the residuals the irregular component uncertainty The focus of smoothing methods is to smooth wide seasonal variations significant trend effects long range forecasts the irregular component If data for a time series analysis is collected on an annual basis only, which component may be ignored? seasonal cyclical irregular trend Short-term, unanticipated, and nonrecurring factors in a time series provide the random variability known as the forecast error the residuals the irregular component uncertainty If data for a time series analysis is collected on an annual basis only, which component may be ignored? seasonal cyclical irregular trend Short-term, unanticipated, and nonrecurring factors in a time series provide the random variability known as the forecast error the residuals the irregular component uncertainty Short-term, unanticipated, and nonrecurring factors in a time series provide the random variability known as the forecast error the residuals the irregular component uncertainty wide seasonal variations significant trend effects long range forecasts the irregular component If data for a time series analysis is collected on an annual basis only, which component may be ignored? seasonal cyclical irregular trend Short-term, unanticipated, and nonrecurring factors in a time series provide the random variability known as the forecast error the residuals the irregular component uncertainty

Explanation / Answer

The focus of smoothing methods is to smooth - irregular component

If data for a time series analysis is collected on an annual basis only, which component may be ignored?

The seasonal component can be ignored

Short-term, unanticipated, and nonrecurring factors in a time series provide the random variability known as- the irregular component

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