Calculates almost every statistic of a linear regression: the slope and intercept of the line, the standard error on each, the correlation coefficient, the coefficient of determination, also known as r-square, and an ANOVA table as described in the manual. This function takes two equal-length sequences of raw data. Note that the dependent variable, as always, comes first in the argument list. If you don't need all this information, consider using the ``-brief,'' or ``-minimal'' functions, which do less computation. You should first look at your data with a scatter plot to see if a linear model is plausible. See the manual for a fuller explanation of linear regression statistics.