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.
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