Interpreting Multiple Regression Output for Business Statistics
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- Опубликовано: 22 авг 2024
- Building on our regression model, we add more predictors and interpret the output to see how they improve the model. We begin by checking the assumptions for multiple regression - outliers, normality, homoscedasticity, independence of observations, and multicollinearity - using the output and checks like standardized residuals, Q-Q plot, Durbin-Watson, tolerance, and VIF. Then we add two more predictor to our original model and watch how the parameters change and whether the r-squared change justifies keeping them.
This lecture was recorded on Monday, November 2, 2020 at Missouri State University for QBA 337 - Applied Business Statistics
Music
50 Ways to Clean Your Data - The Spurious Correlations, from the unreleased album of statistical parodies Dark Side of the Mu
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Excellent videos! Hopefully you can upload a logistic regression video soon
Thanks for the request. I am working on an example of logistic regression. Hope to have it posted this semester as part of an advanced stats class that I am teaching. Cheers
Thanks for your interpretation. It's great. Is there an example of multi regression in JASP in the future? I am confused about how to use it and write it up in APA7. Thanks
I need this song.
Yes pleaseeee
sir you are simply excellent have u any video prepared for logistic regression analysis ? plz upload thanks sir
I don't have a logistic regression video yet. If you are in a hurry, I have four several excellent videos about LR on Coursera. I hope to have some LR videos eventually, but not anytime soon. Good luck with your search.
thank you
You're welcome
I thought SPSS was bad JASP i wouldn't like