Scatterplot smoothing (LOWESS) method for multiple regression

• Is using the locally weighted scatterplot smoothing (LOWESS) method for multiple regression models in a k-nearest neighbors-based model a parametric or nonparametric method?
o Discuss some of the advantages and disadvantages of LOWESS from a computational standpoint.
• Open this GitHub repository.
o Select a data set from the HTML index (select any data set, but not Old Faithful).
o Post the name of that data set in the thread so that the other students will know not to select it.
o When another student has already chosen your selected data set (check the thread), you need to pick another—there are plenty of them. If two of you must have the same data set, you will need to discuss and make sure that each is testing a different model.
• For the data set that you selected, examine the variables, and prepare a multiple regression in R.
• Show the code and the output, and discuss your results.
• How does LOWESS compare to the other producers used in this course?
• How important is parametric data for LOWESS?