Linear Regression assumes the response variable is continuous. Opposite that of Attributes Data Analysis where you analyze discrete data.

y=mx + b

m is the slope

b is the y axis intercept.

The actual plotted line is called the regression line.

Least Squares Equation can be used to find the values of the coefficients a and b in Yi=a+bXi+Ei

- Define linear regression
- Outline the value of linear regression
- Discuss how to interpret the data

http://www.cliffsnotes.com/math/statistics/bivariate-relationships/simple-linear-regression