The power regression option finds the equation of the form y = ax

The values of 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.)

The data shown here are the points {(2,11.4), (3,17),(5,27.3),(7,36.1), (11,47.7), (13,49.9)}.

Press to view the statistics calculation options.

Press for regressions, then to select power.

Therefore, the best-fit power equation for this data is approximately y = 7.01x

The correlation coefficient, r, is about 0.992 and the coefficient of determination, r

Use , , and the menu keys to select

`List1`

for `2Var XList`

,
`List2`

for `2Var YList`

,
and `1`

for `2Var Freq`

.