A non-parametric method of performing this technique is the Theil-Sen estimator.
A non-parametric method of performing this technique is the Theil-Sen estimator. The Gauss-Markov theorem gives the best linear unbiased estimator when error terms from this technique fulfill certain criteria. For a type of this process, the sum of squares total minus sum of squares error all divided by sum of squares total yields the r-squared value, which is also called the coefficient of determination and gives the percentage of variance explained. That type of this technique minimizes the sum of squared (*) residuals and is the least-squares method. "Influential" outliers unduly influence the slope obtained from the linear form of this process. For 10 points, name this process which gives a mathematical model for the association between a dependent and one or more independent variables.
A non-parametric method of performing this technique is the Theil-Sen estimator.
regression analysis [or least-squares regression; or simple linear regression]