When finding correlation coefficient r by hand, as well as regression slope and intercept, you will see many calculations involving terminology you are unfamiliar with.

This is what is all means

sum(x) = all x's added together

sum(y) = all y's added together

sum(x^2) = square each x, then sum the total

sum(y^2) = square each y, then sum the total

sum(xy) = muitiply each xy value , then sum the total

(sumx)^2 = sum of the x's then square

(sumy)^2 = sum of the y's, then square

r^2 is just taking r and squaring it

y-bar is the average of the y's, which is sum(y)/n

x-bar is the average of the x's, which is sum(x)/n

## No comments:

## Post a Comment