STATS 100C
Linear Models
Description: Lecture, three hours; discussion, one hour. Enforced requisite: course 100B or Mathematics 170S. Theory of linear models, with emphasis on matrix approach to linear regression. Topics include model fitting, extra sums of squares principle, testing general linear hypothesis in regression, inference procedures, Gauss/Markov theorem, examination of residuals, principle component regression, stepwise procedures. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Spring 2020 - It was Mike's first time teaching 100C, yet he always made organized, informative slides for each lecture and reasonable but challenging homework assignments. He also was very accommodating at the end because of everything surrounding the protests and riots. 100C gets a rep for being one of the hardest stats classes, but I felt Mike's instruction and expectations made it a very fulfilling, enjoyable experience. Really pleased to have taken it with him!
Spring 2020 - It was Mike's first time teaching 100C, yet he always made organized, informative slides for each lecture and reasonable but challenging homework assignments. He also was very accommodating at the end because of everything surrounding the protests and riots. 100C gets a rep for being one of the hardest stats classes, but I felt Mike's instruction and expectations made it a very fulfilling, enjoyable experience. Really pleased to have taken it with him!
Most Helpful Review
One of the best professors I have ever taken. He is genuinely concerned, nice, and very good at teaching and building on the concepts learned. Homework and tests are more or less based on the notes he eventually posts online. There is not a calculation emphasis, but rather a conceptual one. I would recommend taking any class with him. He also gives very generous grades!
One of the best professors I have ever taken. He is genuinely concerned, nice, and very good at teaching and building on the concepts learned. Homework and tests are more or less based on the notes he eventually posts online. There is not a calculation emphasis, but rather a conceptual one. I would recommend taking any class with him. He also gives very generous grades!
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Most Helpful Review
Spring 2015 - Hongquan Xu is by far one of the worst professors I have ever had. Here's a breakdown of everything awful about him: 1. One of the few upper division stats professors that requires you to purchase a textbook 2. Has an accent that makes him unclear 3. Bad speaker 4. Does not answer questions in class well 5. Difficult to get his attention in class since he just mindlessly copies down his notes onto the blackboard as he lectures 6. His curriculum is basically ripped off of Christou's, from his material to the homework (screams lazy, and that material is hard) 7. Not helpful in office hours 8. Does not care about students' learning 9. Terrible grader, offers little to no partial credit on math problems 10. Goes really fast in his lectures, and no podcasts 11. If your notes involve just copying down everything he writes on the blackboard, it won't be enough. I bought the textbook, read it thoroughly, attended every class, did decently on the first two midterms, and did pretty badly on the final. His grading policy to not offer partial credit destroyed my grade despite doing well on the midterms and the homeworks. He's not just an awful professor, but he's also not very nice or respectable. Don't take him if there are other options.
Spring 2015 - Hongquan Xu is by far one of the worst professors I have ever had. Here's a breakdown of everything awful about him: 1. One of the few upper division stats professors that requires you to purchase a textbook 2. Has an accent that makes him unclear 3. Bad speaker 4. Does not answer questions in class well 5. Difficult to get his attention in class since he just mindlessly copies down his notes onto the blackboard as he lectures 6. His curriculum is basically ripped off of Christou's, from his material to the homework (screams lazy, and that material is hard) 7. Not helpful in office hours 8. Does not care about students' learning 9. Terrible grader, offers little to no partial credit on math problems 10. Goes really fast in his lectures, and no podcasts 11. If your notes involve just copying down everything he writes on the blackboard, it won't be enough. I bought the textbook, read it thoroughly, attended every class, did decently on the first two midterms, and did pretty badly on the final. His grading policy to not offer partial credit destroyed my grade despite doing well on the midterms and the homeworks. He's not just an awful professor, but he's also not very nice or respectable. Don't take him if there are other options.
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