Watch webinar: Regression analysis – what is it and when should it be used?

Linear regression is one of the most widely used basic statistical methods. With its help, we can study relationship between causes and an effect that is measurable on a quantitative scale within analyzed dependence. This is a help when making purely practical decisions about technical details of the relationship under study and it can be used for forecasting.

Join our webinar and find out:

❖ how to build a linear regression model step by step,
❖ how to avoid pitfalls,
❖ how to understand details of a model obtained.

We will present examples in the Statistica program.