simple linear regression

In simple linear regression, the model used to describe the relationship between a single dependent variable y and a single independent variable x is y = β₀ + β₁x + ε. β₀ and β₁ are referred to as the model parameters, and ε is a probabilistic…

For simple linear regression, the sample correlation coefficient is the square root of the coefficient of determination, with the sign of the correlation coefficient being the same as the sign of b₁, the coefficient of x₁ in the estimated regression equation.