[Data Analysis with Python] 19. Linear Regression and Multiple Linear Regression

In this video, we'll be talking about simple linear regression and multiple linear regression. Linear regression will refer to one independent variable to make a prediction. Multiple linear regression will refer to multiple independent variables to make a prediction. Simple linear regression, or SLR, is a method to help us understand the relationship between two variables: the predictor (independent variable x) and the target (dependent variable y). We would like to come up with a linear relationship between the variables shown here. The parameter b0 is the intercept, the parameter b1 is the slope. When we fit or train the model we will come up with these parameters. This step requires lots of math, so we will not focus on this part. Let's clarify the prediction step. It's hard to figure out how much a car costs, but the highway miles per gallon is in the owner's manual.