Function Linear-Regression-Brief-Summaries

Part of:

package cl-mathstats
( linear-regression-brief-summaries < n > < x > < y > < x2 > < y2 > < xy > )

Calculates the main statistics of a linear regression: the slope and
intercept of the line, the coefficient of determination, also known as r-square,
the standard error of the slope, and the p-value for the regression. This
function differs from linear-regression-brief&#39; in that it takes summary<br> variables: x' and y&#39; are the sums of the independent variable and dependent<br> variables, respectively; x2' and y2&#39; are the sums of the squares of the<br> 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