We consider questions like these across three topics:
- Topic 1 starts with simple, familiar ideas like correlation and builds on these to consider how simple linear regression can be applied to quantify the relationships between variables.
- Topic 2 examines multiple linear regression and considers how we can establish models that allow us to predict values for variables of interest in circumstances where there are many variables at work.
- Topic 3 considers the details of time series forecasting , using different methods of trend fitting to make predictions about future data.
