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Linear and multiple regression, analysis of residuals, transformations, variable and model selection including stepwise regression, and analysis of covariance. The course will stress the use of computer packages to solve real-world problems.
4
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
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often unavailable, difficult to reach, more interested to stack all of his meeting during one day of the week so he can be off campus dating.
40% HW, 40% Final, 20% Quizzes. Very good at explaining concepts and answering questions. Quizzes have some tricky questions, but homework is straightforward and the final exam was fair. He is awesome.
Professor Yu's lectures are clear and organized. The homework is based on R but he gives very clear instructions on how to code in R. The homework (40%) is straightforward based on lectures and quizzes (20%) are really helpful for reviewing the course contents. No midterm. Final (40%) is easy if you can understand lectures well.
Probably the best professor in PSTAT department. He gives 50% of people A.
Easy A class. Final grade with 71.1% people A (he also gives 2% extra credit, so no curve down lol: ) A+: 98.5 - 100 --> 4.44% A: 94 - 98.5 --> 42.96% A-: 90 - 94 --> 23.70% B+: 87 - 90 --> 8.15% B-: 83 - 87 --> 5.19% C+: 80 - 83 --> 2.22% C: 77 - 80 --> 2.96%
He curves down. there are 4 quizzes which are tricky. Final was hard. Avoid him if you can.