Regression analysis is a statistical method used in finance and investing. Regression analysis pools data together to help people and companies make informed decisions. There are different variables ...

Beside the model, the other input into a regression analysis is some relevant sample data, consisting of the observed values of the dependent and explanatory variables for a sample of members of the ...

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 particular, we will motivate the need for GLMs; introduce the binomial regression model, including the most common binomial link functions; correctly interpret the binomial regression model; and ...

The term “sum of squares” is a statistical measure used in regression analysis that quantifies how spread out the data points are around the mean or predicted values. The sum of squares helps ...

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 ...

A study published last week used a wave flume to evaluate the effects of waves on small-diameter pipelines. The experimental ...