STATS 100C
Linear Models
Statistics · 4 units · Undergraduate upper division (100-199)
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.
Requisites
Official UCLA wording
Enforced requisite: course 100B or Mathematics 170S.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 100C
- STATS 100BIntroduction to Mathematical Statistics
- STATS 100AIntroduction to Probability
- MATH 170AProbability Theory I
- MATH 170SIntroduction to Probability and Statistics 2: Statistics
2 direct requisites. Showing 18 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
STATS 100C
- STATS C151Experimental Design
- STATS 170Introduction to Time-Series Analysis
- BIOMATH M257Computational Methods for Biostatistical Research
- STATS C173Applied Geostatistics
- STATS M230Statistical Computing