Logistic Regression

The logistic regression option finds the equation of the form

y = c//(1 + ae-bx)

that best fits a set of data. First, press selecting option AEDIT 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 DREG to view the regression options.

For quadratic regression, select opton 13Rg_logistic using followed by twelve

Press and select logistic regression in the calculation screen. Now press followed by .

Therefore, the best-fit logistic equation for this data is approximately

y = 51.37/(1 + 7.38e-0.42x)

The regression equation can be automatically stored in the equation editor by entering the name of the equation, such as y1, after (L1,L2 as follows: choose option A and select y1 followed by .

Note: The Sharp does not calculate the correlation coefficient r nor the coefficient of determination, r2.