## Linear Regression: Model Representation

Recall that in regression problems, we are taking input variables and trying to fit the output onto a continuous expected result function.

Our first learning algorithm is ** Linear regression**.

Linear regression with one variable is also known as "*univariate linear regression*."

Univariate linear regression is used when you want to predict a *single output* value y from a *single input* value x.
We're doing *supervised learning* here, so that means we already have an idea about what the input/output cause and effect should be.