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What is Understanding Simple Linear Regression about?

- Simple linear regression is a statistical technique used to analyze the relationship between an independent variable (X) and a dependent variable (Y). It fits a straight line to the data using the method of least squares. - The intercept and slope of the regression line represent the parameters estimated from the data. The intercept is the value of Y when X=0 and the slope indicates the change in Y for a one unit change in X. - Residuals measure the difference between observed Y values and the fitted

Author

cesardako

Language

EN