Table of Contents
Advertisement
54
Section 4: Statistics Functions
Example: Calculate the standard deviation about the mean calculated
above.
Keystrokes
|S
®
Linear Regression
Linear regression is a statistical method for finding a straight line that best
fits a set of two or more data pairs, thus providing a relationship between
two or more data pairs, thus providing a relationship between two variables.
By the method of least squares, ´L will calculate the slope, A, and y-
intercept, B, of the linear equation:
Accumulate the statistics of your data using the z key.
1.
2. Press ´L. The y-intercept, B, appears in the display (X-
register). The slope, A, is copied simultaneously into the Y-
register.
Press ® to view A. (As is the case with the functions '
3.
and S, L causes the stack to lift two registers if it's
enabled, one if not).
T
Z
z
Y
y
X
x
Keys:
The slope and y-intercept of the least squares line of the accumulated data
are calculated using the equations shown in appendix A.
Display
31.62
1.24
t
´L
Standard deviation about the mean nitrogen
application, x.
Standard deviation about the mean grain
yield, y.
y=Ax+B
y
x
A
slope
B
y-intercept
®
y
y
B
y-intercept
A
slope
Advertisement
Table of Contents
