In Google Sheets, the SLOPE function is used to calculate the slope of a linear regression line that best fits a given set of data points.

It calculates the rate of change of the dependent variable (datay) with respect to the independent variable (datax). The SLOPE function follows the syntax:

SLOPE(datay, datax)

data_y represents the array or range of cells containing the dependent variable values.

data_x represents the array or range of cells containing the independent variable values.

The SLOPE function calculates the slope of the linear regression line using the least squares method, which minimizes the sum of the squared differences between the actual data points and the predicted values on the line.

Here's an example of how you can use the SLOPE function in Google Sheets:

Suppose you have a set of data points in column A representing the independent variable values (datax) and another set of data points in column B representing the dependent variable values (datay).

You can use the following formula to calculate the slope of the regression line:

=SLOPE(B2:B10, A2:A10)

This formula calculates the slope of the linear regression line using the data points in cells A2 to A10 as the independent variable values (datax) and the data points in cells B2 to B10 as the dependent variable values (datay).

Note that the SLOPE function assumes that the data points are arranged in pairs, and each pair represents a corresponding data point for both the independent and dependent variables.