Power Regression

The power regression option finds the equation of an equation of the form y = axb that best fits a set of data. First, press to enter the data .

Press to view the statistics calculation options.

The values of both x and y must be greater than zero. (This is because the method for determining the values of a and b in the regression equation is a least-squares fit on the values for ln x and ln y.) Press .

Enter the columns to be used for the x and y entries, c1 and c2 in this case.

The regression equation can be automatically stored in the equation editor by selecting the Stor RegEQ.

Therefore, the best-fit power equation for this data is approximately y = 0.53x1.45.