Casio FC-200V User Manual
Page 127
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E-125
ab
Exponential Regression (A•B^X)
A = exp
(
)
n
Σ
ln
y – B.
Σx
B = exp
(
)
n.
Σx
2
–
(
Σx
)
2
n.
Σx
ln
y –
Σx.Σ
ln
y
r
=
{
n.
Σx
2
–
(
Σx
)
2
}{
n.
Σ
(ln
y
)
2
–
(
Σ
ln
y
)
2
}
n.
Σx
ln
y –
Σx.Σ
ln
y
m
=
lnB
lny – lnA
n = AB
x
A = exp
(
)
n
Σ
ln
y – B.
Σx
B =
n.
Σx
2
–
(
Σx
)
2
n.
Σx
ln
y –
Σx.Σ
ln
y
r
=
{
n.
Σx
2
–
(
Σx
)
2
}{
n.
Σ
(ln
y
)
2
–
(
Σ
ln
y
)
2
}
n.
Σx
ln
y –
Σx.Σ
ln
y
m
=
B
lny – lnA
n = Ae
Bx
e
Exponential Regression (
e
^X)
Logarithmic Regression (ln X)
A =
n
Σy – B.Σ
ln
x
B =
n.
Σ
(ln
x
)
2
–
(
Σ
ln
x
)
2
n.
Σ
(ln
x
)
y –
Σ
ln
x.
Σy
r
=
{
n.
Σ
(ln
x
)
2
–
(
Σ
ln
x
)
2
}{
n.
Σy
2
–
(
Σy
)
2
}
n.
Σ
(ln
x
)
y –
Σ
ln
x.
Σy
n = A + Blnx
m = e
y
– A
B
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