Casio fx-3650P User Manual

E-32
u Correlation coefficient r
u Regression coefficient A
A = exp
( )
n
Σ
ln y – B
.
Σx
u Regression coefficient B
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
u Correlation coefficient r
u Regression coefficient A
A = exp
( )
n
Σ
lny – B
.
Σ
lnx
u Regression coefficient B
B =
n
.
Σ
(
ln
x
)
2
–
(
Σlnx
)
2
n
.
Σ
lnxln
y
– Σ
lnx
.
Σ
lny
r
=
{n
.
Σ
(
ln
x
)
2
–
(
Σlnx
)
2
}{n
.
Σ
(
ln
y
)
2
–
(
Σlny
)
2
}
n
.
Σ
lnxln
y
– Σ
lnx
.
Σ
lny
u Correlation coefficient r
u Regression coefficient A
A =
n
Σy – B
.
Σx
u Regression coefficient B
B =
n
.
Σx
2
–
(
Σx
)
2
n
.
Σxy – Σx
.
Σy
r
=
{n
.
Σx
2
–
(
Σx
)
2
}{n
.
Σy
2
–
(
Σy
)
2
}
n
.
Σxy – Σx
.
Σy
u Correlation coefficient r
u Regression coefficient A
A =
n
Σy – B
.
Σ
lnx
u Regression coefficient B
B =
n
.
Σ
(
ln
x
)
2
–
(
Σlnx
)
2
n
.
Σ
(
ln
x
)y
– Σ
lnx
.
Σy
r
=
{n
.
Σ
(
ln
x
)
2
–
(
Σlnx
)
2
}{n
.
Σy
2
–
(
Σy
)
2
}
n
.
Σ
(
ln
x
)y
– Σ
lnx
.
Σy
2 Logarithmic Regression y = A + B
.
ln x
1 Linear Regression y = A + Bx
3 Exponential Regression y = A
.
e
B
·
x
(ln y = ln A + Bx)
4 Power Regression y = A
.
x
B
(ln y = ln A + Bln x)

Casio fx-3650P Specifications

General

Type	Scientific
Form factor	Pocket
Housing material	Plastic
Digits	12 digits
Digit comma separator	Yes
Display number of lines	2 lines
Digit comma separator format	Standard (3 digits)
Battery type	LR44
Number of batteries supported	1

Weight and Dimensions

Weight	100 g
Dimensions (WxDxH)	78 x 157 x 12 mm