Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...

This is not the same as the generalized linear model dispersion , but it is an additional distribution parameter that must be estimated or set to a fixed value.

The y-intercept of a linear regression relationship represents the value of one variable ... the variables becomes more complex, nonlinear models have greater flexibility and capability of ...

We will also study the properties of least squares, and describe some goodness of fit metrics for linear regression models. In this module, we will identify how models can predict future values, as ...

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, ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

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 ...

It is assumed students have taken at least a first course in linear algebra. A solid coverage of the most important parts of the theory and application of regression models, and generalised linear ...