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.