Regression and correlation analysis are statistical techniques to understand relationships between variables, while multiple regression extends this analysis to predict outcomes from multiple predictors.
Regression analysis is a statistical technique that helps in understanding the relationship between a dependent variable and one or more independent variables. It estimates a mathematical statement that describes this relationship.
Correlation analysis, on the other hand, examines the degree to which variation in one variable is associated with variation in another, denoted by a number between -1 and +1.
Multiple regression goes further, allowing the prediction of a single outcome variable from multiple predictor variables based on correlation coefficients among the variables.
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