Function Linear-Regression-Minimal-Summaries
(
linear-regression-minimal-summaries < n > < x > < y > < x2 > < y2 > < xy > )
Calculates the slope and intercept of the regression line. This function
differs from `linear-regression-minimal' in that it takes summary statistics:
`x' and `y' are the sums of the independent variable and dependent variables,
respectively; `x2' and `y2' are the sums of the squares of the independent
variable and dependent variables, respectively; and `xy' is the sum of the
products of the independent and dependent variables.
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.