Logistic
X
Y
Freq
Category
Logistic
,
[, [
] [,
Fits a logistic regression model to X and Y with frequency Freq. A
summary of results is stored in the stat.results variable. (See page
76.)
Output variable
stat.RegEqn
stat.a, stat.b, stat.c
stat.Resid
stat.XReg
stat.YReg
stat.FreqReg
LogisticD
X
Y
Iterations
LogisticD
,
[ , [
Calculates the logistic regression. A summary of results is stored in
the stat.results variable. (See page 76.)
All the arguments must have equal dimensions except for Include.
X represents xlist.
Y represents ylist.
Freq represents frequency.
Category represents category codes.
Include represents category include list.
Iterations specifies the maximum number of times a solution will be
attempted. If omitted, 64 is used. Typically, larger values result in
better accuracy but longer execution times, and vice versa.
Output variable
stat.RegEqn
stat.a, stat.b, stat.c,
stat.d
stat.Resid
stat.XReg
stat.YReg
stat.FreqReg
TI-Nspire™ Reference Guide
Include
,
]]
Description
·
Regression equation: c/(1+a
Regression coefficients.
Residuals of the curves fit = y - (c/(1+a
List of data points in the modified X List actually used in the regression based on restrictions of Freq,
Category List, and Include Categories.
List of data points in the modified Y List actually used in the regression based on restrictions of Freq,
Category List, and Include Categories.
List of frequencies corresponding to stat.XReg and stat.YReg.
Freq
Category
Include
] , [
] [,
,
Description
·
Regression equation: c/(1+a
Regression coefficients.
Residuals of the curves fit = y - (c/(1+a
List of data points in the modified X List actually used in the regression based on restrictions of Freq,
Category List, and Include Categories.
List of data points in the modified Y List actually used in the regression based on restrictions of Freq,
Category List, and Include Categories.
List of frequencies corresponding to stat.XReg and stat.YReg.
-bx
e
).
·
-bx
e
)).
] ]
-bx
e
)+d).
·
-bx
e
)+d).
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