Explore a comprehensive statistics course covering advanced topics in regression analysis and ANOVA. Learn about log transformations, variance inflation factors, confidence intervals, prediction intervals, F-tests, multiple linear regression, stepwise regression, and more. Dive deep into statistical concepts like adjusted and sequential sum of squares, information criteria, and PRESS statistic. Master the fundamentals of ANOVA, slope tests, interaction models, and additive models. Gain practical insights through demonstrations on p-values, negative and positive slopes, and simple linear regression assumptions. Enhance your statistical analysis skills with this in-depth exploration of STAT 501 concepts.
Overview
Syllabus
STAT 501 Log Transform for response and predictor variables.
STAT 501 Equal Variance Test.
STAT 501 Variance Inflation Factors.
STAT 501: Comparison of CI and PI.
STAT501: Subset F-test in Multiple Linear Regression.
STAT 501 Individual F-test.
STAT501: Overall F test.
STAT501: Adjusted SS and Sequential SS.
STAT501, 5-3 Multiple linear regression example.
STAT501: Information Criteria & PRESS.
STAT 501: 10-3 Best Subsets Regression.
STAT501 Stepwise Regression.
STAT501Sec2 6 SLR anova2.
STAT501: ANOVA: The Basics.
STAT501 Slope Test.
501Interaction model.
501 Additive Model.
501 8-8 chalk talk video.
501 P-Value Demonstration.
501 Negative Slope Demonstration.
501 Positive Slope Demo.
501 SLR MSE.
STAT 501 Coefficient of Determination.
STAT 501 SLR Assumptions.
Taught by
Penn State Statistics
