Regression Analysis . PSTAT 126
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.
Prerequisites: PSTAT 10 and PSTAT 120B both with a minimum grade of C or better.
4
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
CollegeUnlocks PSTAT 115 PSTAT 127 PSTAT 237 PSTAT 131 PSTAT 197A PSTAT 220A
These majors only finms stsds actsc stsap stats
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Rate My Professors
33
4.1
(Rating PSTAT 122) A very kind and accommodating professor. Sets clear guidelines for his lectures and throughout the course made sure we understood the material and wanted us to succeed. Lectures were decent, reasonable homework and exam difficulty was mostly fair. Would take with him again!
Prof.Abuzaid is THE BEST PSTAT professor at UCSB!! Don't hesitate to take his course. He is patient and super nice and his exams are very similar to the practice. THE BEST!!
Nice Professor
amazing teacher, super compassionate and responds to emails quickly. i felt as though the midterms were fair and the final project helped me learn alot + boosted my grade. it was hard, but definitely doable with some work. i really enjoyed having Abuzaid as a professor and I learned a lot about linear regression as well.
Professor Abuzaid is extremely helpful and a very fair professor! I enjoyed taking his class, and appreciate the time and effort he took explaining the reasoning behind every concept.
Very nice professor who cares about his students. Lectures are decent, though they often focus on proofs. The final project effectively ties all topics together. He is accommodating and considerate.
Yuedong Wang
3.4
Guo Yu
2.8