RegressionIntercept
The RegressionIntercept function calculates the y-intercept of the linear regression line. This provides you with the predicted value of a variable when the other variable is equal to zero.
This function isn't compatible with all data platform connections. To check if your connection supports it, see Supported data platforms and feature compatibility.
Syntax
RegressionIntercept(y, x)
Function arguments
y | The dependent variable, expected to change as a result of changes in x . |
x | The independent variable. |
Notes
- The function returns null if the arguments used provide only a single data point.
Example
A table contains an AdSpend column (tracking monthly advertising spend) and a Revenue column (tracking month revenue). You can use the RegressionIntercept function to find what the baseline monthly revenue is when the monthly advertising spend is zero.
RegressionIntercept([Revenue], [AdSpend])
Updated about 7 hours ago