Business Analytics Chapter 9 excel example two скачать в хорошем качестве

Business Analytics Chapter 9 excel example two

In this video, I walk through and explain key concepts from Chapter 9 pt 2 on Regression Analysis from Business Analytics (2e). I break down how linear regression models work, the difference between correlation and causation, and why real-world relationships are stochastic rather than perfectly predictable. I also cover model selection, interpreting R², hypothesis testing for joint significance, and common regression assumption violations such as outliers, nonlinearity, heteroskedasticity, and serial correlation. Throughout the video, I provide commentary to make the material easier to understand and apply using tools like Excel and R. This video is for commentary and educational purposes only. Portions of copyrighted material are used under Fair Use (Section 107 of the U.S. Copyright Act) for criticism, comment, and analysis. All rights belong to their respective owners.