The
Linear
Regression
(L.R.)
Menu
Menu
Label
Description
{*}
Estimates (predicts) x for a given hypothetical value of y,
based
on
the
line
calculated
to
fit
the
data.
{y}
Estimates (predicts) y for a given hypothetical value of x,
based
on
the
line
calculated
to
fit
the
data.
{r}
Correlation coefficient for
the
(x.y)
data.
The
correlation
co
efficient is a
number
in
the
range
-1
through
+1
that
measures
how closely
the
calculated line fits the data.
{m}
Slope
of
the
calculated line.
{b}
/-intercept
of
the
calculated line.
Example: Curve Fitting. The yield of a new variety of rice depends
on its rate of fertilization with nitrogen. For the following data, deter
mine the linear relationship: the correlation coefficient, the slope, and
the
y-intercept.
X,
Nitrogen
Applied
(kg
per
0.00
20.00
40.00
60.00
80.00
hectare)
Y, Grain
Yield
(metric
tons
4.63
5.78
6.61 7.21 7.78
per
hectare)
Keys:
CLEAR
|
{2}
4.63|
5.78|
ENTERI 0 I
2+1
ENTER
I
20
[2+1
6.61 |
7.21 |
7.78 |
ENTER |
40
I
2+
I
ENTER I
60
I
2+
I
ENTER |
80
I
2+
I
BrSTATl {L.R.}
{r}
Display:
5.0000
x y r m b
0.9880
Description:
Clears
any
previous
statistical
data.
Enters data; displays n:
5 data pairs entered.
Displays linear-
regression menu.
Correlation
coefficient;
the data closely
approximate a straight
line.
11:
Statistical
Operations
159
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