Given partial data about an exponential growth curve, calculates various parameters about the best fit ideal exponential growth curve. Learn more
The LOGEST function in Google Sheets is used to calculate the statistics for an exponential curve that best fits a set of data points that have a logarithmic relationship.
This function returns an array of values that describe the slope, y-intercept, and regression coefficients of the curve. The function can be used with a single range of data or with multiple ranges.
Syntax: =LOGEST(knowndatay, [knowndatax], [b], [verbose])
knowndatay: The range of dependent variables or data points on the y-axis. This parameter is required.
[knowndatax]: The range of independent variables or data points on the x-axis. This parameter is optional and can be omitted if the x-values are sequential.
[b]: A logical value that specifies whether the y-intercept should be forced to zero. This parameter is optional and the default value is FALSE.
[verbose]: A logical value that specifies whether additional statistical information about the regression should be returned. This parameter is optional and the default value is FALSE.
The LOGEST function returns an array of values that describe the slope, y-intercept, and regression coefficients of the exponential curve.
It is important to note that the LOGEST function is an array function, which means that it must be entered into a range of cells rather than a single cell. To do this, highlight a range of cells, enter the function into the first cell, and then press CTRL + SHIFT + ENTER instead of just ENTER.