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What is Simple Linear Regression Explained about?

This document discusses simple linear regression. It introduces the concept of using a linear regression model to estimate the relationship between two variables. The model takes the form of y = β0 + β1x + ε, where β0 and β1 are estimated using the least squares method to minimize the sum of squared errors between observed and predicted y-values. The least squares method results in estimated coefficients b0 and b1 that are used in the estimated regression equation ŷ = b0 + b1x to predict future y-values bas

Author

Etibar Aslanov

Language

EN