Linear Regression with One Variable
A general regression problem can be defined as follows. Suppose we have a set of data points. We need to figure out a best fit curve to approximately fit the given data points. This curve will describe the relationship between our input variable x, which is the data points, and output variable y, which is the curve.
In real life, we often have multiple input variables determining one output variable. Regression helps us understand how the output variable changes when we keep all but one input variable fixed, and we change the remaining input variable.
What Is Regression?
In this lesson, we will work with regression on the two-dimensional plane. This means that our data points are two-dimensional, and we are looking for a curve to approximate how to calculate one variable from another.
We will learn about the following types of regression:
Linear regression with one variable using a polynomial of degree 1: This is the most basic form of regression, where a...
