Use your existing data in Excel 2016 to predict and chart future values much faster and easier than using the various Forecast functions with one click. This article also contains information …

This article describes the formula syntax and usage of the FORECAST.LINEAR and FORECAST functions in Microsoft Excel. Note: In Excel 2016, the FORECAST function was replaced with …

Forecasting functions can be used to predict future values based on historical data. These functions use advanced machine learning algorithms, such as Exponential Triple Smoothing …

You can use trendline and moving average in two-dimensional charts to graphically display trends and analyze problems of prediction (also known as regression analysis). A moving average …

Calculates or predicts a future value based on existing (historical) values by using the AAA version of the Exponential Smoothing (ETS) algorithm. The predicted value is a continuation of …

Returns a statistical value as a result of time series forecasting. Statistic type indicates which statistic is requested by this function. Syntax. FORECAST.ETS.STAT(values, timeline, …

FORECAST.ETS.CONFINT(target_date, values, timeline, [confidence_level], [seasonality], [data_completion], [aggregation]) The FORECAST.ETS.CONFINT function syntax has the …

FORECAST.ETS.SEASONALITY(values, timeline, [data_completion], [aggregation]) The FORECAST.ETS.SEASONALITY function syntax has the following arguments: Values …

FORECAST.ETS.CONFINT(target_date, values, timeline, [confidence_level], [seasonality], [data_completion], [aggregation]) The FORECAST.ETS.CONFINT function syntax has the …

You can use TREND for polynomial curve fitting by regressing against the same variable raised to different powers. For example, suppose column A contains y-values and column B contains x …