### Building statistical models: Linear (OLS) regression

Everyday, researchers around the world collect sample data to build statistical models to be as representative of the real world as possible so these models can be used to predict changes and outcomes in the real world. Some models are very complex, while others are as basic as calculating a mean score by summating several observations and then dividing the score by the number of observations. This mean score is a hypothetical value so it is just a simple model to describe the data. The extent to which a statistical model (e.g. the mean score) represents the randomly collected [READ MORE]