E – 18
File name : CBM_SR19S1_HDB119S1RR9_English
version : 2007/07/04
Variable
Meaning
t
Test
value
P ( t )
Represent the cumulative fraction of the
standard normal distribution that is less than the
value t
R ( t )
Represent the cumulative fraction of the
standard normal distribution that lies between
the value t and 0. R ( t ) =1 – ( t )
Q ( t )
Represent the cumulative fraction of the
standard normal distribution that is greater than
the value t Q ( t ) = | 0.5 – ( t ) |
Linear regression
Step : ( See Example 56. )
1. Based on the datasets in
2–VAR
mode, press [ STATVAR ]
and scroll through the statistical results menu by [ ] or [ ]
to find out
a
,
b
, or
r
.
2. To predict a value for x (or y) given a value for y (or x), select
the x ' (or y ' variable, press [
], enter the given value,
and press [
] again. (See table below)
Variable
Meaning
a
Linear regression y-intercept
∑
∑
−
=
x
n
b
y
a
b
Linear regression slope
∑
∑
−
∑
∑ ∑
−
=
)
)
x
(
x
n
(
)
y
x
xy
n
(
b
2
2
r
Correlation
coefficient
∑
∑
∑
∑
−
−
∑
∑ ∑
−
=
)
)
y
(
y
n
)(
)
x
(
x
n
(
)
y
x
xy
n
(
r
2
2
2
2
x '
Predicted x values given a, b, and y vales
b
a
y
'
x
−
=
y '
Predicted y value given a, b, and x value.
bx
a
'
y
+
=
Correcting data
Step : ( See Example 57. )
1. Press [ DATA ].
2. To change x - values or the frequency of the x - value in
1–VAR
mode ( or the corresponding y - value in
2–VAR
mode ), please choose
DATA–INPUT
. To change upper spec.
