Casio ClassPad 300 PLUS - Manual (Page 351)

20050501
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 =
Σ 1
n – 4
i =1
n
(y
i
– (a·x
i
3 + b·x
i
2 + c·x
i
+d )) 2
• MSe =
Σ 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