To develop a better predictive model (equation) than is possible from models based on single independent variables.There are two main purposes of multiple linear regression: Of two or more simultaneously measured continuous predictor variables. Multiple regression is an extension of simple linear regression whereby a response variable is modeled against a linear combination Single predictor and/or a simple linear equation. Patterns in a response variable can not be adequately described by a single straight line resulting from a Multiple and complex regression analyses can be useful for situations in which Library (car) library (effects) library (emmeans) library (ggfortify) library (ggeffects) library (GGally) library (MuMIn) library (scales) library (broom) library (tidyverse)
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