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TI-83 Plus Tables and Reference Information 721
Statistics Formulas
This section contains statistics formulas for the
Logistic
and
SinReg
regressions,
ANOVA
,
2
.
Samp
Ü
Test
, and
2
.
SampTTest
.
Logistic
The logistic regression algorithm applies nonlinear recursive least-
squares techniques to optimize the following cost function:
2
1
1
∑
=
−
−
+
=
N
i
i
i
bx
y
ae
c
J
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.
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