RegressionR2
The RegressionR2 function calculates the R2 value, or coefficient of determination, of the linear regression line. This value is a goodness-of-fit measure, and explains how well the independent variable explains variations in the dependent variable.
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
RegressionR2(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 RegressionR2 function to calculate how well advertising spend explains variations in revenue.
RegressionR2([Revenue], [AdSpend])
Possible output values range from 0
(no correlation) to 1
(perfect correlation), representing a percentage from 0 to 100. If the output is 0.4
, for example, 40% of the variation in revenue can be explained by changes in advertising spend.
Updated about 7 hours ago