Regression and Analysis of Variance
McGill University · QC · MATH533
Regression and Analysis of Variance is a subject at McGill University, QC in MATH. It covers topics like applied-statistics, business-analytics, data-analysis, statistical-computing. It is part of 9 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
MATH533
3.00
MATH
Topics covered
Degrees that include Regression and Analysis of Variance
- Biostatistics (Non-Thesis) (M.Sc.) (48 credits)
- Biostatistics (Ph.D.)
- Biostatistics (Thesis) (M.Sc.) (45 credits)
- Computer Science (Non-Thesis) (M.Sc.) (45 credits)
- Data Science (Gr. Cert) (15 credits)
- Quantitative Life Sciences (Ph.D.)
- Statistics and Computer Science Honours (B.Sc.) (79 credits)
- Statistics Honours (B.A.) (63 credits)
- Statistics Honours (B.Sc.) (63 credits)
Frequently asked questions
What is Regression and Analysis of Variance about?
Regression and Analysis of Variance covers topics like applied-statistics, business-analytics, data-analysis, statistical-computing.
Which degrees include Regression and Analysis of Variance?
Regression and Analysis of Variance is part of 9 degrees, including Biostatistics (Non-Thesis) (M.Sc.) (48 credits), Biostatistics (Ph.D.), Biostatistics (Thesis) (M.Sc.) (45 credits), Computer Science (Non-Thesis) (M.Sc.) (45 credits), Data Science (Gr. Cert) (15 credits).
How many credit points is Regression and Analysis of Variance?
Regression and Analysis of Variance at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Regression and Analysis of Variance taught?
Regression and Analysis of Variance is taught at McGill University, QC.
Studying Regression and Analysis of Variance?
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Sources: McGill University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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