Variable
t
P ( t )
R ( t )
Q ( 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 [
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 [
and press [
Variable
a
b
r
x '
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.
File name : CBM_SR285,A_HDBSR285T19_English.doc
version : 2010/04/26
Meaning
Test value
Represent the cumulative fraction of the
standard normal distribution that is less than the
value t
Represent the cumulative fraction of the
standard normal distribution that lies between
the value t and 0.
Represent the cumulative fraction of the
standard normal distribution that is greater than
the value t
Q ( t ) = | 0.5 – ( t ) |
] again. (See table below)
Meaning
Linear regression y-intercept
Linear regression slope
Correlation coefficient
∑
−
n (
xy
=
r
2
2
n (
∑
x
−
(
∑
) x
Predicted x values given a, b, and y vales
−
y
a
=
' x
b
Predicted y value given a, b, and x value.
' y
=
a
+
bx
E – 18
R ( t ) =1 – ( t )
] or [
], enter the given value,
∑ −
y
b
=
a
n
∑
−
∑ ∑
n (
xy
x
=
b
2
−
n (
∑
x
(
∑
) x
∑ ∑
x
) y
2
2
)(
n
∑
y
−
(
∑
) y
)
]
∑
x
) y
2
)