• The Moving Average is also known as Naïve Forecasting or moving/rolling mean.
• It is an indicator that creates a series of averages of several subsets of a complete dataset

The Moving Average is used with time-series for forecasting.

To analyze trends in linear or non-linear time-series data

• When the data is not time-series based
• On textual and categorical data

A time-series data should not contain null or missing values.

Any dataset that contains time-series data

• Root mean Square Error (RMSE)
• Baseline and Prediction Plot
• Predicted Values of the selected Variable

• Average
• Root Mean Square Error

Cannot identify the time series components