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E-45
y
σ
n
1
2
(S-VAR)
1
(VAR)
e
2
Obtains the population standard deviation
of the sample
y
-data.
y
σ
n
–1
1
2
(S-VAR)
1
(VAR)
e
3
Obtains the sample standard deviation of
the sample
y
-data.
y
σn–1
n – 1
=
Σ (y
i
– y)
2
y
σn
n
=
Σ (y
i
– y)
2
y
σn
n
=
Σ (y
i
– y)
2
Regression Coeffi cient and Estimated Value Commands for Non-
quadratic Regression (VAR Menu)
The calculation that is performed when one of these commands is performed depends on
the regression type that is currently selected. For details about each regression calculation
formula, see “Regression Coeffi cient and Estimated Value Calculation Formula Table” (page
47).
a
1
2
(S-VAR)
1
(VAR)
ee
1
Obtains constant term a of the regression formula.
b
1
2
(S-VAR)
1
(VAR)
ee
2
Obtains coeffi cient b of the regression formula.
r
1
2
(S-VAR)
1
(VAR)
ee
3
Obtains correlation coeffi cient r.
ˆ x
1
2
(S-VAR)
1
(VAR)
d
1
Taking the value input immediately before this command as the
y
-value, obtains the
estimated value of
x
based on the regression formula for the currently selected regression
calculation.
ˆ y
1
2
(S-VAR)
1
(VAR)
d
2
Taking the value input immediately before this command as the
x
-value, obtains the
estimated value of
y
based on the regression formula for the currently selected regression
calculation.
x
σ
n
–1
1
2
(S-VAR)
1
(VAR)
3
Obtains the sample standard deviation of
the sample
x
-data.
x
σn–1
n – 1
=
Σ(x
i
– o)
2
¯ y
1
2
(S-VAR)
1
(VAR)
e
1
Obtains the mean of the sample
y
-data.
p
Σy
i
n
=
p
Σy
i
n
=