WorksheetFunction.Forecast_Linear 方法 (Excel)WorksheetFunction.Forecast_Linear method (Excel)

使用現有的值計算或預測未來的值。Calculates, or predicts, a future value by using existing values. 預測值是根據假設的 x 值求得 y 值。The predicted value is a y-value for a given x-value. 已知值包括現有的 x 值和 y 值,而新的值則利用線性回歸法求得。The known values are existing x-values and y-values, and the new value is predicted by using linear regression. 您可以用這個函數預測未來銷售額、庫存需求或消費趨勢。You can use this function to predict future sales, inventory requirements, or consumer trends.

語法Syntax

運算式Forecast_Linear(Arg1Arg2Arg3)expression.Forecast_Linear (Arg1, Arg2, Arg3)

_運算式_代表**WorksheetFunction** 物件的變數。expression A variable that represents a WorksheetFunction object.

參數Parameters

名稱Name 必要/選用Required/Optional 資料類型Data type 描述Description
Arg1Arg1 必要Required DoubleDouble x-要預測值的資料點。x - the data point for which you want to predict a value.
Arg2Arg2 必要Required VariantVariant known_y's-相依的陣列或資料範圍。known_y's - the dependent array or range of data.
Arg3Arg3 必要Required VariantVariant known_x's-獨立的陣列或資料範圍。known_x's - the independent array or range of data.

傳回值Return value

雙精確度Double

註解Remarks

如果 x 為非數值, Forecast_Linear會傳回 #VALUE !If x is nonnumeric, Forecast_Linear returns the #VALUE! 錯誤值。error value.

如果_known_y's_和_known_x's_的參數為空白或包含不同數目的資料點, Forecast_Linear會傳回 # n/A 錯誤值。If known_y and known_x parameters are empty or contain a different number of data points, Forecast_Linear returns the #N/A error value.

如果_known_x's_參數的變異數等於零, Forecast_Linear會傳回 #DIV/0 !If the variance of known_x parameters equals zero, Forecast_Linear returns the #DIV/0! 錯誤值。error value.

Forecast_Linear的方程式為 a + bx,其中 公式 和 公式 其中 x 及 y 為樣本平均數 AVERAGE (所有_known_x's_) 和 AVERAGE (所有_known_y's_).The equation for Forecast_Linear is a+bx, where   Formula   and   Formula   and where x and y are the sample means AVERAGE(all known_x) and AVERAGE(all known_y).

範例Example

Dim instance As WorksheetFunction
Dim Arg1 As Double
Dim Arg2 As Object
Dim Arg3 As Object
Dim returnValue As Double

returnValue = instance.Forecast_Linear(Arg1, Arg2, Arg3)

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