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Lecture
ANOVA & Moderation
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Related lectures (31)
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Nested Model Selection
Explores nested model selection in linear models, comparing models through sums of squares and ANOVA, with practical examples.
R Programming: Conditions, Loops, Functions & Graphics
Covers conditions, loops, functions, and graphics in R programming with practical examples.
Introduction to R Programming for Genetics & Genomics
Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.
Statistics essentials: ANOVA
Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.
Generalized Additive Models: Applications and Techniques
Explores Generalized Additive Models, covering basics, smooth functions, penalties, practical examples in R, and linear mixed models.
Experimental Research Design: T-Test Analysis
Explores digital lesson development, experimental research, t-tests, ANOVA, and statistical analysis using R.
Regression Diagnostics
Covers regression diagnostics for linear models, emphasizing the importance of checking assumptions and identifying outliers and influential observations.
General Linear Model: Model Selection
Explores the General Linear Model, significance testing, model selection, and parameter inference.
Statistical Inference: Linear Models
Explores statistical inference for linear models, covering model fitting, parameter estimation, and variance decomposition.
Assessing Significance and Fit
Covers confidence intervals, R2, and examples on cement heat evolution and car horsepower-MPG relationships.
