Four components of time series are trend, moving average, exponential smoothing, and seasonality.
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Q1: The trend component of a time series
Q2: A season represents a longer period of
Q4: Time series models enable the forecaster to
Q5: A scatter diagram for a time series
Q6: The naïve forecast for the next period
Q7: Scatter diagrams can be useful in spotting
Q8: In a weighted moving average, the weights
Q9: The most common quantitative causal model is
Q10: The three categories of forecasting models are
Q11: Time series models extrapolate historical data from
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