What does ARIMA stand for in time series forecasting?Average Regression Impacted Moving AverageAuto-Regressive Integral Moving AverageAuto-Regressive Increased Mean AdjustmentAdvanced Regression Integral Model Assessment

How are forecasting techniques like ARIMA, SARIMA, and Prophet used in time series analysis?Review LaterThey are used to estimate the mean and variance of a time series.They are used to identify outliers and anomalies in a time series.They are used to cluster similar time series together.They are used to make future predictions based on historical patterns in a time series.

Moving average method is Good for Long-term forecasting.*TrueFalse

What does time series analysis mean?

Which of the following is a drawback of the Moving Average (MA) method of forecasting?Group of answer choicesIt requires extensive historical records.Increasing the number of periods makes it less sensitive to data change.It does not pick up trends very well.All of the above.Next

Which of the following is NOT a commonly used forecasting technique for time series data?Review LaterARIMASARIMAProphetLinear Regression