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For Simple Linear Regression only one predictor or exposure variable is included. The unstandardized regression coefficient (B) in this model represents the relationship between the predictor and the outcome without considering any other variables while for Multiple Linear Regression, multiple predictors are included, allowing the assessment of the relationship between the exposure variable and the outcome while controlling for potential confounders.