y = a + bx where a is the y-intercept and b is the slope. The variable x is the independent variable and y is the dependent variable.

Least Squares Line or Line of Best Fit:

$\widehat{y}=a+bx$

where

a = y-intercept

b = slope

Standard deviation of the residuals:

$s=\sqrt{\frac{SEE}{n-2}}.$

where

SSE = sum of squared errors

n = the number of data points