Channel: Brandon Foltz

Category: Education

Tags: stepwise regressionstatistics 101 multiple regressionbackward selectionregression analysisforward selectionlinear regressionbest subsets regressionmachine learning explainedstatistics 101: multiple regressionmachine learningstatistics 101linear regression statisticsstatistics 101 regressiondata sciencebrandon foltz statistics 101simple linear regressionmultiple regressionmultiple regression analysisbrandon foltzfeature selection

Description: In this Statistics 101 video, we explore the regression model building process known as forward selection. We also take an in-depth look at how sum of squares is allocated in the full model. This is done through conceptual explanations and by analyzing computer output from JMP. Enjoy! You can find the data here: bcfoltz.com/blog/mdocs-posts/multiple-regression-house-price-brandon-foltz-blank My playlist table of contents can be found here: bcfoltz.com/blog/stats-101 You can also find Video Companion Guide PDFs here: bcfoltz.com/blog JMP by SAS: jmp.com/en_us/software.html Happy learning! #statistics #machinelearning #datascience