Poisson Regression can be a really useful tool if you know how and when to use it. In this article we’re going to take a long look at Poisson Regression,…
Posts tagged as “Regression”
Logistic regression is yet another technique borrowed by machine learning from the field of statistics. It’s a powerful statistical way of modeling a binomial outcome with one or more explanatory…
R is one of the most important languages in the field of data analysis and analytics, and so the multiple linear regression in R carries importance. It defines the case where a single response variable Y is linearly dependent on multiple predictor variables. What is Multiple Linear Regression? A technique used for predicting a variable result that depends on two or more variables is a multilinear regression. It is also called multiple regression. It is a linear regression extension. The calculated variable is the dependent variable, which is referred to as independent or informative variables in the variables used to predict the dependent variable meaning. Multilinear regression allows researchers to assess the model variance and the relative contribution of each independent variable. Multiple regression is of two forms, linear and nonlinear regression. The general mathematical equation for multiple regression is − y = b + b1x1 + b2x2 +...bnxn Description of the parameters used…
In this article, you will learn the basics behind a very popular statistical model, the linear regression. What is Linear Regression In statistics, linear regression is a linear approach to modeling the relationship between a scalar response…