FORECAST.ETS.CONFINT

FORECAST.ETS.CONFINT(target_date, values, timeline [,confidence_level] [,seasonality] [,data_completion] [,aggregation])

Returns the confidence interval for a future value.

target_date	The date you want to predict.
values	The historical values.
timeline	The array or range of cells.
confidence_level	(Optional) The number indicating a confidence level between 0 and 1 (exclusive).
seasonality	(Optional) The number indicating whether to use seasonality: 1 - automatically detected uses positive whole numbers (default) 0 - no seasonality, therefore linear
data_completion	(Optional) The number indicating how to handle missing points: 1 - use the average of the neighbouring points (default) 0 - use zero for any missing points
aggregation	(Optional) The type of function to use: 1 = AVERAGE (default) 2 = COUNT 3 = COUNTA 4 = MAX 5 = MIN 6 = MEDIAN 7 = SUM

REMARKS

* ETS stands for Exponential Triple Smoothing.
* You can use the FORECAST.LINEAR function to return the future y-value along a linear trend using existing values.
* You can use the FORECAST.ETS function to return the future value based on historical values.
* You can use the FORECAST.ETS.SEASONALITY function to return the length of the repetitive seasonality pattern.
* You can use the FORECAST.ETS.STAT function to return the statistical value for a future value.
* This function was added in Excel 2016.
* For the Microsoft documentation refer to support.microsoft.com

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