Linreg (Ax+B); Quadreg (Ax+Bx+C) - Texas Instruments TI-83 Manual Book

LinReg (ax+b)

(linear regression) fits the model equation y=ax+b to the data
LinReg(ax+b)
using a least-squares fit. It displays values for
when
DiagnosticOn
[
LinReg(ax+b) Xlistname , Ylistname , freqlist , regequ
2
QuadReg (ax
(quadratic regression) fits the second-degree polynomial
QuadReg
2
y=ax +bx+c to the data. It displays values for
is set, it also displays a value for
DiagnosticOn
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
CubicReg—(ax
(cubic regression) fits the third-degree polynomial
CubicReg
3 2
y=ax +bx +cx+d to the data. It displays values for
is set, it also displays a value for
DiagnosticOn
equation is a polynomial fit; for five or more, it is a polynomial regression.
At least four points are required.
TI-83 Plus Statistics
is set, it also displays values for
+bx+c)
3 2
+bx +cx+d)
(slope) and
a
2
and
r
]
, , and
a b
2
. For three data points,
R
]
, ,
a b
2
. For four points, the
R
(y-intercept);
b
.
r
; when
c
, and ; when
c d
359