Linear Regression

Linear Regression

• You can use regression to make a prediction
• Similar to a correlation, regression numerically describes the relationship between two variables
• Linear regression figures out how to do optimal guess
• Line of best fit is also known as a REGRESSION LINE
• The line with the minimal distance from each data point, 'minimal deviations' from the line. 
• The result of linear regression is the regression equation.
• Each equation is determined by: intercept and slope
• y=a+bx
• A=intercept B=gradient
• Prediction errors are known as residuals. E.g predicted score = 60 actual score = 64 residual =…