Statistics and Data Plots
532
LinReg
Linear regression — Fits the data to the model
y=ax+b
(where a is the slope, and b is the y-intercept) using a least-
squares fit and x and y.
LnReg
Logarithmic regression — Fits the data to the model
equation
y=a+b ln(x)
using a least-squares fit and
transformed values
ln(x)
and
y
.
Logistic
Logistic regression — Fits the data to the model
y=a/(1+b
ù
e^(c
ù
x))+d
and updates all the system statistics
variables.
MedMed
Median-Median — Fits the data to the model
y=ax+b
(where
a is the slope, and b is the y-intercept) using the median-
median line, which is part of the resistant line technique.
Summary points
medx1
,
medy1
,
medx2
,
medy2
,
medx3
,
and
medy3
are calculated and stored to variables, but they
are not displayed on the STAT VARS screen.
PowerReg
Power regression — Fits the data to the model equation
y=ax
b
using a least-squares fit and transformed values
ln(x)
and
ln(y)
.
QuadReg
Quadratic regression — Fits the data to the second-order
polynomial
y=ax
2
+bx+c
. You must have at least three data
points.
•
For three points, the equation is a polynomial fit.
•
For four or more points, it is a polynomial regression.
Calc Type
Description
Summary of Contents for Titanium TI-89
Page 9: ...Getting Started 6 TI 89 Titanium keys Ë Ì Í Ê ...
Page 34: ...Getting Started 31 2 or D 2 B u s i n e s s D B D B Press Result ...
Page 43: ...Getting Started 40 3 0 D B D D B D Press Result ...
Page 44: ...Getting Started 41 D 2 0 0 2 D B Scroll down to October and press Press Result ...
Page 58: ...Getting Started 55 Example Set split screen mode to TOP BOTTOM Press Result 3 B D ...
Page 70: ...Getting Started 67 ...
Page 175: ...Operating the Calculator 172 From the Keyboard ...
Page 456: ...Tables 453 ...
Page 527: ...Data Matrix Editor 524 ...
