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• Example : Using the
on page 20, determine the normalized variate (
x
= 53 and normal probability distribution P(
A D 1
k Regression Calculations (REG Mode)
F F 2
• Press
lect one of the following regression types.
1
2
3
r 1
r 2
r 3
• Data input always starts with
cal memory.
• The values produced by a regression calculation depend
on the values input, and results can be recalled using
the key operations shown in the table below.
0 G
0 H
0 k
0 h
0 n
0 o Σxy
0 M
0 x Σx
0 y
A M
A A xσ
• Linear Regression
The regression formula for linear regression is: y
x
A D 4
53
( P
(
to enter the REG mode and then se-
: Linear regression
: Logarithmic regression
: Exponential regression
: Power regression
: Inverse regression
: Quadratic regression
A N
2
Σx
A l
Σx
A d
n
A c
2
Σy
A q
Σy
A w
A e
3
Σx
A J
2
y
A O
4
Σx
o
A b
n
-data values input in the example
t
(→
)
F =
) -0.28
A m =
Regression coefficient A
Regression coefficient B
Regression coefficient C
Correlation coefficient
20
t
=
-0.284747398
to clear statisti-
xσ
n-1
p
yσ
n
yσ
n-1
m
n
t
→
) for
).
0.38974
r
A
Bx.
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