In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear ... problem of multicollinearity (also called collinearity). You will complete a ...

In the more realistic scenario of dependence on several variables, we can use multiple linear regression (MLR ... reduce interpretability and cause problems with multiple testing.

But analysts are sometimes interested in understanding how multiple factors might contribute simultaneously to the same outcome. One useful tool to help us make sense of these kinds of problems is ...

Of course, this is just a simple regression and there are models that you can build that use several independent variables called multiple linear regressions. But multiple linear regressions are ...