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