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What is Correlation and Regression Explained about?
Correlation and regression are statistical methods used to describe the strength and direction of relationships between variables. Correlation measures the degree of association between two variables using a correlation coefficient (r) ranging from -1 to 1. Regression finds the linear relationship between variables to allow prediction of one variable based on the other using a regression equation. Scatter plots are used to visualize relationships and determine if they are linear, curvilinear, or random.
- Author
- gothai sivapragasam
- Language
- EN