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Lydia Diama
on Oct 28, 2024

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If the given time series has a trend and no seasonality,the ________ is the most appropriate forecasting model to determine the forecast of the time series.

A) single exponential smoothing model
B) seasonal additive model
C) double moving average model
D) Holt-Winters multiplicative model

Seasonal Additive Model

A time series forecasting technique that adds seasonal effects to predict future values.

Double Moving Average Model

A method used in time series analysis and forecasting that involves taking averages of averages to smooth data series and detect trends.

Trend

The general direction in which something is developing or changing over time.

  • Deduce the appropriate forecasting models through the scrutiny of trend and seasonal tendencies in the time series.
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Ashwin KumarNov 03, 2024
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