Multiple regression?

Multiple regression is an extension of simple linear regression. It is used when we want to predict the value of a variable based on the value of two or more other variables. The variable we want to predict is called the dependent variable (or sometimes, the outcome, target or criterion variable).

Reference: https://statistics.laerd.com/spss-tutorials/multiple-regression-using-spss-statistics.php

Multiple regression is based on correlation. However, it allows a relatively complex exploration of the interrelationship among variables.

What is the difference between Pearson correlation and multiple regression?

Multiple regression is for exploring the relationship between one continuous dependent variable and several independent variables.