Casio 330 User Manual
Page 414
20060301
Cubic Regression
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 Regression
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