Texas Instruments TI-84 PLUS - Graphing Calculator Manual Book page 209

4 3
QuartReg—(ax +bx +cx
(quartic regression) fits the fourth-degree polynomial y=ax
QuartReg
displays values for ,
a b
five points, the equation is a polynomial fit; for six or more, it is a polynomial regression. At least
five points are required.
[
QuartReg Xlistname,Ylistname,freqlist,regequ
LinReg—(a+bx)
(linear regression) fits the model equation y=a+bx to the data using a least-squares fit.
LinReg(a+bx)
It displays values for
a
2
for and .
r r
[
LinReg(a+bx) Xlistname,Ylistname,freqlist,regequ
LnReg—(a+b ln(x))
(logarithmic regression) fits the model equation y=a+b ln(x) to the data using a least-
LnReg
squares fit and transformed values ln(x) and y. It displays values for
set, it also displays values for
[
LnReg Xlistname,Ylistname,freqlist,regequ
x
ExpReg—(ab )
(exponential regression) fits the model equation y=ab
ExpReg
and transformed values x and ln(y). It displays values for
2
displays values for and
r
2
+ dx+e)
, , , and ; when
c d e DiagnosticOn
]
(y-intercept) and (slope); when
b
]
2
and .
r r
]
.
r
4 3 2
+bx +cx
is set, it also displays a value for
is set, it also displays values
DiagnosticOn
and ; when
a b
x
to the data using a least-squares fit
and ; when
a b DiagnosticOn
Chapter 12: Statistics
+dx+e to the data. It
2
. For
R
is
DiagnosticOn
is set, it also
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