simple_linear_regression

Simple Linear Regression is like drawing a 'line of best fit' through a scatter of data points on a graph. Imagine you have dots representing years of experience and salary; this method finds the single straight line that passes as close to all those dots as possible. It helps us see the clear trend between the two variables, such as how much salary typically goes up per year. Once we have this line, we can use it to predict a 'y' value (salary) for any 'x' value (experience) we haven't seen before. Essentially, it turns a messy group of data points into a simple, predictable rule. It is the most basic way to use math to guess one number based on another.