- Picture and text skills
- Case
Calculate or predict future values based on existing values. This predicted value is the y value derived from the given x value. The known values are the existing x values and y values,
Linear regression is then used to predict new values. You can use this function to make predictions about future sales, inventory needs, or consumption trends.
Grammar
FORECAST(x,known_y's,known_x's)
x is the data point that needs to be predicted.
< span style="">known_y's is the dependent variable array or data area.
< span style="">known_x's is an independent variable array or data area.
< br style="margin: 0px; padding: 0px; font-size: 14px; white-space: normal; background-color: rgb(250, 253, 255);"/>Description
• if x For non-numeric types, the function FORECAST returns the error value #VALUE!.
• If If known_y's and known_x's are empty or contain different numbers of data points, the FORECAST function returns the error value #N/A.
• If The variance of known_x's is zero, and the FORECAST function returns the error value #DIV/0!.
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