STATS 100C · STAT 100CLinear 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.
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Requisites
Official UCLA wording
Enforced requisite: course 100B or Mathematics 170S.
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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 170EIntroduction to Probability and Statistics 1: Probability
- 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.
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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
- BIOSTAT M215Survival Analysis
- BIOSTAT 233Statistical Issues in Global Health
- BIOMATH M280Statistical Computing
- BIOSTAT M257Computational Methods for Biostatistical Research
- BIOMATH M281Survival Analysis
- BIOSTAT M280Statistical Computing
10 courses list this as a requisite. The whole downstream is here — 11 courses over 2 levels. Every course here opens its own tree.