Quadreg (ax2+bx+c), Cubicreg-(ax3+bx2+cx+d), Quartreg-(ax4+bx3+cx2+ dx+e) – Texas Instruments TI-84 User Manual
Page 312
Chapter 12: Statistics
309
LinReg(ax+b)
[
Xlistname,Ylistname,freqlist,regequ
]
QuadReg (ax
QuadReg (ax
QuadReg (ax
QuadReg (ax
2
+bx+c)
+bx+c)
+bx+c)
+bx+c)
QuadReg
(quadratic regression) fits the second-degree polynomial y=ax
2
+bx+c to the
data. It displays values for
a
,
b
, and
c
; when
DiagnosticOn
is set, it also displays a value
for
R
2
. For three 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
]
CubicReg—(a
CubicReg—(a
CubicReg—(a
CubicReg—(ax
xx
x
3
+b
+b
+b
+bx
xx
x
2
+c
+c
+c
+cx
xx
x+d)
+d)
+d)
+d)
CubicReg
(cubic regression) fits the third-degree polynomial y=ax
3
+bx
2
+cx+d to the
data. It displays values for
a
,
b
,
c
, and
d
; when
DiagnosticOn
is set, it also displays a
value for
R
2
. For four 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
]
QuartReg—(a
QuartReg—(a
QuartReg—(a
QuartReg—(ax
xx
x
4
+b
+b
+b
+bx
xx
x
3
+c
+c
+c
+cx
xx
x
2
+ dx+e)
+ dx+e)
+ dx+e)
+ dx+e)
QuartReg
(quartic regression) fits the fourth-degree polynomial y=ax
4
+bx
3
+cx
2
+dx+e to
the data. It displays values for
a
,
b
,
c
,
d
, and
e
; when
DiagnosticOn
is set, it also displays
a value for
R
2
. For five points, the equation is a polynomial fit; for six or more, it is a
polynomial regression. At least five points are required.