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Describe and Discuss correlation and regression

Correlation evaluates the degree and direction of a linear relationship between two variables, with values ranging from -1 (perfect negative) to +1 (perfect positive). It is assessed using a correlation coefficient.
Regression, especially linear regression, is the process of modelling the connection between a dependent variable and one or more independent variables. It presents an equation (y = mx + b) that predicts the dependent variable based on the independent variables. Correlation suggests relationship, whereas regression implies causality and anticipates results.
Corr