Learning and applying new statistical techniques can often be a daunting experience.\"Easy Statistics\" is designed to provide you with a compact, and easy to understand, course that focuses on the basic principles of statistical methodology.This course will focus on the concept of regression modelling. Understanding how regression analysis works is only half the battle. There are many pitfalls to avoid and tricks to learn when modelling data in a regression setting. Often, it takes years of experience to accumulate these. In these videos, I will outline some of the most common modelling issues. What is the theory behind them, what do they do and how can we deal with them? Each topic has a practical demonstration in Stata and includes relevant Stata code. However, Stata is not required to follow this course. The main learning outcomes are:To learn and understand the basic approaches to regression modellingTo learn, in an easy manner, tips and tricks to improve your regression modelsTo gain practical experience Themes include:Fundamental of Regression Modelling - What is the Philosophy?Functional Form - How to Model Non-Linear Relationships in a Linear RegressionInteraction Effects - How to Use and Interpret Interaction EffectsUsing Time - Exploring Dynamics Relationships with Time InformationCategorical Explanatory Variables - How to Code, Use and Interpret themDealing with Multicollinearity - Excluding and Transforming Collinear VariablesDealing with Missing Data - How to See the Unseen