|
What does it do?  | Tells you the best X to use when you're comparing multiple X's in regression assessment
|
Why Use? 
| Best Subsets is an efficient way to select a group of "best subsets" for further analysis by selecting the smallest subset that fulfills certain statistical criteria. The subset model may actually estimate the regression coefficients and predict future responses with smaller variance than the full model using all predictors |
When Use? 
| Typically used before or after a multiple-regression analysis. Particularly useful in determining which X combination yields the best R-sq value |
|
Six Sigma 
