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Menu Key
ˆ
{
}
ˆ
{
}
{ }
{ }
{ }
To find an estimated value for x (or y), key in a given hypothetical value for y
(or x), then press
To find the values that define the line that best fits your data, press
followed by { }, { }, or { }.
Example:
Curve Fitting.
The yield of a new variety of rice depends on its rate of fertilization with nitrogen.
For the following data, determine the linear relationship: the correlation coefficient,
the slope, and the y–intercept.
X, Nitrogen Applied
(kg per hectare)
Y, Grain Yield
(metric tons per hectare)
Keys:
¹ ¡
{ }
Ï
4.63
0
Ï
5.78
20
11–8
Statistical Operations
File name 33s-E-Manual-1008-Publication(1st).doc
Printed Date : 2003/10/8
L.R. (Linear Regression) Menu
Estimates (predicts) x for a given hypothetical value of y,
based on the line calculated to fit the data.
Estimates (predicts) y for a given hypothetical value of x,
based on the line calculated to fit the data.
Correlation coefficient for the (x, y) data. The correlation
coefficient is a number in the range –1 through +1 that
measures how closely the calculated line fits the data.
Slope of the calculated line.
y–intercept of the calculated line.
ˆ
º %
{
} (or
0.00
4.63
Display:
/
/
Size : 13.7 x 21.2 cm
Description
ˆ
º %
{
}).
20.00
40.00
60.00
5.78
6.61
7.21
Description:
Clears all, previous statistical
data.
Enters data; displays n.
Page : 386
º %
80.00
7.78
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