50 Section 4: Statistics Functions
In some cases involving x or y data values that differ by a relatively small
amount, the calculator cannot compute s, r, linear regression, or Å·, and will
display Error 2. This will not happen, however, if you normalize the data by
keying in only the difference between each value and the mean or
approximate mean of the values. This difference must be added back to the
calculations of

x, Å·, and the y-intercept (L). For example, if your x-values
were 665999, 666000, and 666001, you should enter the data as -1, 0, and 1;
then add 666000 back to the relevant results.
The statistics of the data are compiled as follows:
Number of data points accumulated (n also
appears in the X-register).
Summation of squares of x-values.
Summation of squares of y-values.
Summation of products of x- and y-values.
You can recall any of the accumulated statistics to the display (X-register)
by pressing l and the number of the data storage register containing the
desired statistic. If you press l z, î ˆy  î ˆx will be copied
simultaneously from R
3
and R
5
respectively, into the X-register and the Y-
register, respectively. (The sequence l z lifts the stack twice if stack
lift is enabled, once if not, and then enables stack lift.)
Example: Agronomist Silas Farmer has
developed a new variety of high-yield rice,
and has measured the plant's yield as a
function of fertilization. Use the z function
to accumulate the data below to find the values
for î ˆx, î ˆx
2
î ˆy, î ˆy
2
, and î ˆxy for nitrogen
fertilizer application (x) versus grain yield (y).
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