However, with time series data, the ordinary regression residuals usually are correlated over time. It is not desirable to use ordinary regression analysis for time series data since the assumptions ...

We call these “slope values”, regression coefficients or beta coefficients. The main distinction between different types of regression model is that they are used for different types of outcome (eg, ...

and linear statistical models in particular. In this module, we will learn how to fit linear regression models with least squares. We will also study the properties of least squares, and describe some ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...