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.