Casio fx-FD10 Pro, Руководство пользователя

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5-12
Cubic regression
Model formula .......
y
=
ax 3
+
bx 2
+
cx
+
d
a
.......... regression third coefficient
b
.......... regression second coefficient
c
.......... regression first coefficient
d
.......... regression constant term
(
y
-intercept)
Quartic regression
Model formula .......
y
=
ax 4
+
bx 3
+
cx 2
+
dx
+
e
a
.......... regression fourth coefficient
b
.......... regression third coefficient
c
.......... regression second coefficient
d
.......... regression first coefficient
e
.......... regression constant term (
y
-intercept)
k
Logarithmic Regression Graph
Logarithmic regression expresses
y
as a logarithmic function of
x
. The standard logarithmic
regression formula is
y
=
a
+
b
× In
x
, so if we say that X = In
x
, the formula corresponds to
linear regression formula
y
=
a
+
b
X.
1
(CALC)
6
(
g
)
2
(Log)
6
(DRAW)
The following is the logarithmic regression model formula.
y
=
a
+
b
·ln
x
a
.............. regression constant term
b
.............. regression coefficient
k
Exponential Regression Graph
Exponential regression expresses
y
as a proportion of the exponential function of
x
. The
standard exponential regression formula is
y
=
a
×
e
bx
, so if we take the logarithms of both
sides we get In
y
= In
a
+
bx
. Next, if we say Y = In
y
, and A = In
a
, the formula corresponds to
linear regression formula Y = A +
bx
.
1
(CALC)
6
(
g
)
3
(EXP)
1
(
aeˆbx
) or
2
(
abˆx
)
6
(DRAW)
The following is the exponential regression model formula.
y
=
a
·
e
bx
a
.............. regression coefficient
b
.............. regression constant term
y
=
a
·
b
x
a
.............. regression constant term
b
.............. regression coefficient
Quadratic regression
Model formula .......
y
=
ax 2
+
bx
+
c
a
.......... regression second coefficient
b
.......... regression first coefficient
c
.......... regression constant term
(
y
-intercept)