In various posts, particularly those on regression analysis, variance analysis, and time series, we’ve come across terms that seem deliberately designed to scare the reader.
The aim of these articles is to explain these key concepts simply, beyond the apparent complexity (something I really wanted when I was a student, instead of facing texts written in a purposely convoluted and unnecessarily difficult way).
So, it’s time to spend a few words on three very important concepts that often recur in statistical analysis and need to be well understood. The reality is much, much clearer than it seems, so… don’t be afraid!
Tag: regressione
Correlation and Regression Analysis – Linear Regression
In previous posts, we have examined concepts such as the mean and standard deviation, which are capable of describing a single variable. These statistics are of great importance; however, in daily practice, it is often necessary to investigate the relationships between two or more variables. This is where new key concepts emerge: correlation and regression analysis.
Correlation and regression analysis are tools widely used during the analysis of our datasets.
They involve estimating the relationship between a dependent variable and one or more independent variables.