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This document discusses linear regression analysis and correlation. It defines linear regression, the method of least squares for fitting a linear regression model, and the formulas for calculating the slope (b) and y-intercept (a) of the regression line. It also defines correlation and the correlation coefficient (r), explaining that r measures the strength and direction of the linear relationship between two variables. The value of r ranges from -1 to 1, where values closer to -1 or 1 indicate a stronger

Author

Sakshi Jain

Language

EN