## 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:<br>`

x' and ` y' are the sums of the independent variable and dependent variables,<br> respectively; `

x2' and ` y2' are the sums of the squares of the independent<br> 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.