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+ 505 W GRAND BLVD 206
+ CORONA CA 91720 2121
+ 19 DECEMBER 1992
+
+Dear reader:
+
+One problem which recurs again and again in the engineering environment is
+centered around the so-called least-squares curve fit. The coefficient of
+linear correlation, r, is between -1 and 1. When r is close to +1 or -1,
+good correlation is indicated; a value of r close to 0 means little or no
+correlation. Some software outputs a more quantitative measure of goodness
+of fit. Two factors are used: (1) the number of points, N, and (2) the
+value of the correlation coefficient, r. The attached documentation and
+computer programs explain this quantative measure of fit and provide work-
+ing models.
+
+The graphical output of many commercial statistical packages does not in-
+clude the construction of error bars. This shortfall is closely tied to
+the problem of goodness of fit. If the line of best fit misses a large
+proportion of the error bars or if it misses one or more significantly,
+then there is little or no correlation. This is true despite a value of r
+different from zero---if the number of data points, N, is small. The doc-
+ument provides a vehicle for the correct graphical display of statistical
+data.
+
+It is hoped that the user of this document and the computer programs will
+be spared from the need to constantly "re-invent the wheel."
+
+
+Harry A. Watson, Jr.
+(909) 737-3958