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
CollegeMaybe she worked for other people but I found her lectures very difficult to stay focused on and her materials outside of class were completely insufficient to help me if I missed something from the lecture
She's an amazing lecturer, but idk if I'm just a little slow or the tests were really hard. No cheat sheet for the exams, and you have to understand all the concepts and memorize long proofs. You likely won't fail as long as you show up to lectures and take the pop quizzes. They act as a buffer if you do badly on the exams. This class is doable.
She's a really nice and caring professor. The exams were kind of tough but the project wasn't too bad and it's worth a lot of your grade. The homework essentially covers stuff that we learned in the lecture. Attendance is key to making sure you're up to date with the content covered in the course.
The class is pretty straightforward, with two exams, a midterm, and a final project. As long as you go to lecture, the exams will be pretty easy. Everything she says in the lectures ends up being on the exams. She's a great lecturer and a kind professor.
Very good lecturer. Tells you whats is going to be on the test and what isn't. Tests are fair and graded easily. Take this class with Pandey if you can.
Extremely rare situation where she is a GREAT lecturer but really struggled to organize the class at around the midterm and beyond. There is often a grey area on what you can be tested on due to lectures not directly lining up with slides and the last two "practice exams" raised more questions than answers. She knows the content clearly and low HW.