Linear Regression

Linear regression is a statistical model which is used to predict the value of a variable based on the value of another variable

Equation: $y=mx+b$

• m is the slope
• b is the intercept

Slope formula (m): $m=\frac{\sum (x_i-\bar{x})(y_i-\bar{y})}{\sum (x_i-\bar{x}{)}^2}$

Intercept formula (b): $b=\bar{y}-m\bar{x}$

Using these formulas you are able to make a function in the format of y = mx + b that can be used for predictions