`linear-regression``line-defn`procedureGiven a line definition as a list of point pairs, first prints to the terminal and then returns 5

**values**for the best fitting line through the points:- the y-intercept
- the slope
- the correlation coefficient, r
- the square of the correlation coefficient, r^2
- the significance of the difference of the slope from zero, p

(This is also called the Pearson correlation; used when relation expected to be linear. Also see

`spearman-rank-correlation`.)> (linear-regression '((1.0 0.1) (2.0 0.3) (3.0 0.8))) Intercept = -0.3, slope = 0.35, r = 0.970725343394151, R^2 = 0.942307692307692, p = 0.154420958311267 -0.3 0.35 0.970725343394151 0.942307692307692 0.154420958311267 ; 5 values