Multiple Regression lab 12 psyc 274 Lab 12 - Multiple Regression So far, we have only discussed regression with 1 predictor and 1 outcome. This is referred to as simple linear regression (SLR) and can be written as follows y= _0+_1 x+ where y is the outcome, x is the predictor, _0 is the intercept, _1 is the slope, and is the residual (or error). But what happens if we have 2 or more predictors of our outcome? This is where multiple regression comes in handy. The standard multiple regression (MR) model can be written as