![]() If timeline contains duplicate values, FORECAST.ETS will return the #VALUE! error. If a constant step can't be identified in the provided timeline, Forecast.ETS will return the #NUM! error. The timeline isn't required to be sorted, as FORECAST.ETS will sort it implicitly for calculations. The dates in the timeline must have a consistent step between them and can’t be zero. The independent array or range of numeric data. Values are the historical values, for which you want to forecast the next points. If the target date is chronologically before the end of the historical timeline, FORECAST.ETS returns the #NUM! error. The data point for which you want to predict a value. The FORECAST.ETS function syntax has the following arguments: SyntaxįORECAST.ETS(target_date, values, timeline,, , ) For this type of timeline, it’s very useful to aggregate raw detailed data before you apply the forecast, which produces more accurate forecast results as well. For example, that could be a monthly timeline with values on the 1st of every month, a yearly timeline, or a timeline of numerical indices. This function requires the timeline to be organized with a constant step between the different points. You can use this function to predict future sales, inventory requirements, or consumer trends. The predicted value is a continuation of the historical values in the specified target date, which should be a continuation of the timeline. After seeing the chart, you probably already know the answer.Ĭonclusion: in this example, when using the FORECAST.ETS function, you can also use the value 4 for the fourth argument.Important: The function FORECAST.ETS is not available in Excel for the Web, iOS, or Android.Ĭalculates or predicts a future value based on existing (historical) values by using the AAA version of the Exponential Smoothing (ETS) algorithm. You can use the function to find the length of the seasonal pattern. Enter the value 49 into cell C13, select the range A1:C17 and insert a scatter plot with straight lines and markers.ģ. The default value of 1 indicates seasonality is detected automatically.Ģ. The fourth argument indicates the length of the seasonal pattern. The FORECAST.ETS function below predicts a future value using Exponential Triple Smoothing. The FORECAST.ETS function in Excel 2016 or later is a great function which can detect a seasonal pattern.ġ. This equation predicts the same future values. Note: when you add a trendline to an Excel chart, Excel can display the equation in a chart. Enter the value 89 into cell C11, select the range A1:C14 and insert a scatter plot with straight lines and markers. Explanation: when we drag the FORECAST.LINEAR function down, the absolute references ($B$2:$B$11 and $A$2:$A$11) stay the same, while the relative reference (A12) changes to A13 and A14.Ģ. ![]()
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