Pearson's Correlation Coeffeicent (r) is a measure of the linearity of a data set.
Linear Regression is a technique for fitting a line to a data set, with the slope of the line being represented by β.
We can see in this animation how r and β relate, particularly them being equal when a dataset is standardized