Pearson correlation is one of the correlation measures used to measure the strength and direction of the linear relationship of two variables while linear regression is a statistical analysis technique used to estimate the functional relationship between two or more variables, namely between the dependent variables (dependent; response; response; Y) with one or more independent variables (independent, predictor, X).

Here is a Minitab Tutorial to calculate the correlation coefficient value of several variables at once ( Output in the form of a correlation matrix ( correlation matrix ) )

You can learn more about Minitab: Pearson Correlation in the following video.

Minitab Tutorial: Pearson Correlation

Minitab Tutorial: Pearson Correlation

List of other Minitab Tutorials , you can learn at the following link:

Tutorial Minitab

Minitab Tutorial: Pearson Correlation