Correlation and regression are similar concepts insofar as both are techniques that focus on the relationship across columns in the data set. Correlation is focused on exploring whether a relationship exists between two attributes, and regression is focused on modeling an assumed relationship between attributes with the purpose of being able to estimate the value of one target attribute given the values of one or more input attributes.
