A-50 Tables and Reference Information
8399APXA.DOC TI-83 international English Bob Fedorisko Revised: 02/19/01 1:25 PM Printed: 02/19/01 1:40 PM
Page 50 of 58
This section contains statistics formulas for the Logistic and SinReg
regressions, ANOVA, 2.SampÜTest, and 2.SampTTest.
The logistic regression algorithm applies nonlinear
recursive least-squares techniques to optimize the
following cost function:
Jc
ae y
bx i
i
N
i
=+−
−
=
∑1
2
1
which is the sum of the squares of the residual errors,
where: x= the independent variable list
y= the dependent variable list
N= the dimension of the lists
This technique attempts to estimate the constants a, b, and
c recursively to make J as small as possible.
The sine regression algorithm applies nonlinear recursive
least-squares techniques to optimize the following cost
function:
[]
Jabxcdy
ii
i
N
=++−
=
∑sin() 2
1
which is the sum of the squares of the residual errors,
where: x= the independent variable list
y= the dependent variable list
N= the dimension of the lists
This technique attempts to recursively estimate the
constants a, b, c, and d to make J as small as possible.

Statistics Formulas

Logistic
SinReg