20060301
Cubic Regre
ss
ion
Model
Formula:
y
=
a
·
x
3
+
b
·
x
2
+
c
·
x
+
d
a
:
cubic regression coefficient
b
:
quadratic regression coefficient
c
:
linear regression coefficient
d
:
regression constant term (
y
-intercept)
r
2
:
coefficient of determination
MSe
: mean square error
Quartic Regre
ss
ion
Model
Formula:
y
=
a
·
x
4
+
b
·
x
3
+
c
·
x
2
+
d
·
x
+
e
a
:
quartic regression coefficient
b
:
cubic regression coefficient
c
:
quadratic regression coefficient
d
:
linear regression coefficient
e
:
regression constant term (
y
-intercept)
r
2
:
coefficient of determination
MSe
: mean square error
• MSe
=
1
n
–
4
i
=1
n
(
y
i
– (
a·x
i
3
+
b·x
i
2
+
c·x
i
+
d
))
2
• MSe
=
1
n
–
5
i
=1
n
(
y
i
– (
a·x
i
4
+
b·x
i
3
+
c·x
i
2
+
d·x
i
+
e
))
2
7-5-8
Graphing Paired-Variable Statistical Data
Summary of Contents for ClassPad 330
Page 11: ...20060301 20090601 ClassPad 330 ClassPad OS Version 3 04 ...
Page 277: ...20060301 3 3 10 Storing Functions 3 Tap AND Plot OR Plot ...
Page 779: ...20090601 S Graph Line Clustered C S Graph Line Stacked E 13 9 2 Graphing ...
Page 780: ...20090601 S Graph Line 100 Stacked F S Graph Column Clustered G 13 9 3 Graphing ...
Page 781: ...20090601 S Graph Column Stacked I S Graph Column 100 Stacked J 13 9 4 Graphing ...
Page 782: ...20090601 S Graph Bar Clustered K S Graph Bar Stacked 9 13 9 5 Graphing ...