The linear regression option finds the of the form y = a + bx that best fits a set of data. Press to choose the statistics application. Choose

`fit data...`

and press
. Enter the data.

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 choose a statistics calculation option.

Select

`Linear Fit`

and press .Press to calculate the regression.

The regression equation is in level 3 of the stack, the correlation in level 2, and covariance in level 1. To view the entire correlation press . Press again to see the regression equation itself.

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