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STATS 100C - Linear Models

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Course Description

3.1 Avg. GPA

Lecture, Three Hours; Discussion, One Hour. Requisite: Course 100b. 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.

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Grades

Average Grades for STATS 100C

A+ A A- B+ B B- C+ C C- D+ D D- F Withdraw Pass Fail
5% 31% 6% 3% 25% 6% 2% 17% 2% 0% 2% 0% 2% 0% 0% 0%
Profressor Grades
Chen, W Add to Schedule

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Christou, N Add to Schedule

Recent Grades for N Christou

A+ A A- B+ B B- C+ C C- D+ D D- F Withdraw Pass Fail
0% 45% 0% 0% 41% 0% 0% 14% 0% 0% 0% 0% 0% 0% 0% 0%
Gharibans, L Add to Schedule

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Hasenstab, K Add to Schedule

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Ioudina, V Add to Schedule

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