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Introduction - Regression, Need of Regression, Difference by skkarankal is a document available to read on EtoBox.

Regression is a statistical technique used to analyze and predict the relationship between a dependent variable and independent variables, widely applied in various fields. It allows for predictions, identifies relationships, and explores causal inferences, distinguishing itself from correlation, which measures the strength and direction of relationships without predicting values. In essence, regression provides a predictive model while correlation offers a numerical measure of relationships.

Author
skkarankal
Language
EN