Casio FC-200V - Manual (Page 128)

E-126
A =
n
Σy
– B.
Σx
–1
B =
Sxx
Sxy
r =
Sxx =
Σ
( x –1 ) 2 –
Syy =
Σy
2 –
Sxy =
Σ
( x –1 ) y –
Sxx.Syy
Sxy
n
(
Σx
–1 ) 2
n
Σx
–1
.Σy
m =
y – A
B
n = A +
x
B
n
(
Σy
) 2
Inverse Regression (1/X)
A = exp
( )
n
Σ
ln y – B.
Σ
ln x
B =
n.
Σ
(ln x ) 2 – (
Σ
ln x ) 2
n.
Σ
ln x ln
y –
Σ
ln x.
Σ
ln y
r =
{ n.
Σ
(ln x ) 2 – (
Σ
ln x ) 2 }{ n.
Σ
(ln y ) 2 – (
Σ
ln y ) 2 }
n.
Σ
ln x ln
y –
Σ
ln x.
Σ
ln y
m = e B
ln y – ln A
n = Ax B
Power Regression (A•X^B)