54 Section 4: Statistics Functions

Example: Calculate the standard deviation about the mean calculated above.

Keystrokes

Display

 

S

31.62

Standard deviation about the mean nitrogen

 

 

application, x.

®1.24 Standard deviation about the mean grain yield, y.

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:

y=Ax+B

1.Accumulate the statistics of your data using the zkey.

2.Press ´L. The y-intercept, B, appears in the display (X- register). The slope, A, is copied simultaneously into the Y- register.

3.Press ®to view A. (As is the case with the functions and S, L causes the stack to lift two registers if it's enabled, one if not).

T

t

 

y

 

y

 

Z

 

 

 

 

 

 

z

 

x

 

y

 

Y

 

 

 

 

 

 

y

 

A

slope

B

y-intercept

X

 

 

 

 

 

 

x

 

B

y-intercept

A

slope

Keys:

 

 

 

 

 

 

 

´L

 

®

 

 

The slope and y-intercept of the least squares line of the accumulated data are calculated using the equations shown in appendix A.