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 Statistica 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 Statistica: Pearson Correlation in the following video.
Statistica Tutorial: Pearson Correlation
Statistica Tutorial: Pearson Correlation
Tutorial
If you are interested in the Statistica: Pearson Correlation Tutorial , please subscribe to the Smartstat Channel: https://youtube.com/user/smartstatistik
If you are interested in the Statistica: Pearson Correlation Tutorial , please subscribe to the Smartstat Channel: https://youtube.com/user/smartstatistik
List of other Statistics Tutorials , you can learn at the following link:
