UNDER CONSTRUCTION
Simple linear regression - uses one predictor to determine the regression line or aka the line of best fit
Multiple regression - when you are using 2 or more predictors (the independent variable(s), X) to predict a dependent variable (Y)
predictor error aka residual - the difference between the actual score and the predicted score
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