11. For example parametric methods include multiple linear regression ; non-parametric techniques include local smoothing. 12. I didn't think of applying propagation of uncertainty to the linear regression equation. 13. They developed a linear regression model using description of the algorithm are available. 14. The linear regression model can be used to estimate expected value. 15. Two regression lines ( red ) bound the range of linear regression possibilities. 16. Confidence bands for a simple linear regression analysis using simulated data. 17. In regression models, of which linear regression and logistic regression are two examples. 18. This is the most analogous index to the squared multiple correlation in linear regression . 19. A question on choice of weights for weighted linear regression . 20. Raw residuals are one option; another is studentized residuals ( in linear regression ).
