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.