Texas Instruments TI-84 PLUS - Graphing Calculator Manual Book page 208

LinReg (ax+b)
(linear regression) fits the model equation y=ax+b to the data using a least-squares fit.
LinReg(ax+b)
It displays values for
a
2
for and .
r r
[
LinReg(ax+b) Xlistname,Ylistname,freqlist,regequ
2
QuadReg (ax +bx+c)
(quadratic regression) fits the second-degree polynomial y=ax
QuadReg
displays values for ,
a b
data points, the equation is a polynomial fit; for four or more, it is a polynomial regression. At least
three data points are required.
[
QuadReg Xlistname,Ylistname,freqlist,regequ
3 2
CubicReg—(ax +bx
(cubic regression) fits the third-degree polynomial y=ax
CubicReg
displays values for ,
a b
points, the equation is a polynomial fit; for five or more, it is a polynomial regression. At least four
points are required.
[
CubicReg
Xlistname,Ylistname,freqlist,regequ
(slope) and (y-intercept); when
b
]
, and ; when
c DiagnosticOn
]
+cx+d)
, , and ; when
c d DiagnosticOn
]
is set, it also displays values
DiagnosticOn
2
+bx+c to the data. It
is set, it also displays a value for
3 2
+bx +cx+d to the data. It
is set, it also displays a value for
Chapter 12: Statistics
2
. For three
R
2
. For four
R
201