Datasets for STAT 360 - Regression Analysis
DATASETS FOR ASSIGNMENTS
Assignment 1 - Univariate Analyses, Conditional Distributions, Smoothing
Assignment 2 - Smoothing, Bivariate Distributions, and Simple Linear Regression
Assignment 3 - Simple Linear Regression (SLR)
Assignment 4 - More SLR, Case Diagnostics, and Intro. to Multiple Regression
- Kansas School Funding Declared Unconstitutional from The Huffington Post (2014)
- Legal History of Kansas School Funding Litigation (2003)
- School Funding Disputes Timeline from The Wichita Eagle (2014)
Assignment 5 - More Multiple Regression
Assignment 6 - Even More Multiple Regression
Assignment 7 - Response and Predictor Transformations
Assignment 8 - Model Selection Procedures
Final Exam
DATASETS USED IN NOTES
Section 1 - Univariate Analysis of the Response Variable (Y)
Section 2 - Conditional Distributions
Section 3 - Introduction to Smoothing (Nonparametric Regression)
Tasmanian Abalones (Abalone.JMP, abalone.csv, and Abalone data frame in .RData)
Section 4 - Bivariate Normal Distribution and Regression
Percent Bodyfat Study (Bodyfat.JMP, Bodyfat.txt, and Bodyfat in .RData)
Section 5 - Simple Linear Regression
Percent Bodyfat Study (Bodyfat.JMP, Bodyfat.txt, and Bodyfat in .RData)
Section 6 - Regression in Matrix Notation
Section 7 - Case Diagnostics
Section 8 - Introduction to Multiple Regression
Section 9 - Multiple Regression: Predictors and Terms
Section 10 - Interpreting Coefficients in Multiple Linear Regression
Section 11 - Factors and Interactions
Section 12 - Curvature and Nonconstant Variance
Section 13 - Case Diagnostics for MLR and Collinearity
Section 14 - Response Transformations
Big Mac Data (BigMac2003.JMP and BigMac in alr4)
Section 15 - Predictor Transformations
Big Mac Data (BigMac2003.JMP and BigMac in alr4)
Section 16 - Model Selection Procedures
Section 17 - Weighted Least Squares
Section 18 - Logistic Regression, Poisson Regression and GLMs
Dieldrin Levels in Breast Milk (Pestmilk.JMP)