## Function Linear-Regression-Verbose

(

**linear-regression-verbose** < dv > < iv > )

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.