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