STATS 402

Applied Regression

Statistics · 4 units · Graduate professional courses (400-499)

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Limited to Master of Applied Statistics students. Introduction to state-of-art applications of linear model for understanding systems and predicting outcomes. Topics include review of statistical inference, properties of least-squares estimates, interpreting linear model, prediction and confidence intervals, model building, diagnostics, and bootstrapping.

Letter grading.

When it runs

Fall 2025
Winter 2027

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.

Checking the Schedule of Classes…

Requisites

UCLA lists no requisites for this course.

Requires

Everything that has to come before this course, not just the courses named in the requisite above.

Nothing — this is an entry point.

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

STATS 402

STATS 419Experimental Design
STATS 427Applied Bayesian Statistics
STATS 429Statistical Consulting in Data Science

3 courses list this as a requisite. The whole downstream is here — 3 courses over 1 level. Every course here opens its own tree.