The linear regression option finds the equation of a linear equation of the form y = a + bx that best fits a set of data. First, press to enter the data .

The data shown here is 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 .

Therefore, the best-fit linear equation for this data is approximately y = 7.42 + 3.53x.

The TI-86 calculates the correlation coefficient, r, as corr.

The coefficient of determination, r^{2} is found in the catalog.