Assembly Language Programming: Inferential Statistics and Distribution Functions
22
TLinR
This linear regression
t
-test, shown as
LinRegTTest
in the editor, computes a linear
regression on the given data and a
t
-test on the value of slope
b
and the correlation
coefficient
r
for the equation
y
=
a
+
b
x. It tests the null hypothesis H
0
:
b
=0
(equivalently,
r
=0) against one of the alternatives below.
¦
H
a
:
bƒ
0 and
rƒ
0
(
b
&
r
:
ƒ
0)
¦
H
a
:
b
<0 and
r
<0
(
b
&
r
:<0
)
¦
H
a
:
b
>0 and
r
>0
(
b
&
r
:>0
)
The regression equation is automatically stored to
RegEQ
(
-
š
*
/
/
'
). If you enter a
y=
variable name at the
RegEQ
prompt, the calculated
regression equation is automatically stored to the specified
y=
equation. In the
example below, the regression equation is stored to
y1
, which
is then selected
(turned on).
In the example:
L3=
{38 56 59 64 74}
L4=
{41 63 70 72 84}
$
For the regression equation,
you can use the fix-decimal
mode setting to control the
number of digits stored after
the decimal point. However,
limiting the number of digits
to a small number could
affect the accuracy of the fit.
Input
Calculated
Results
