Multivariable Analysis

Simple Linear Regression

One of the first known uses of regression was to study inheritance of traits from generation to g...

Mutiple Linear Regression and Estimation

Multiple Linear Regression analysis can be looked upon as an extension of simple linear regressio...

Model Fitting: Inference

Given several predictors and a response, we need to figure out whether all are needed. Consider ...

Dummy Variables and Analysis of Covariance

So far we have mostly seen quantitative variables in regression models, but many variables of int...

Broken Stick Regression, Polynomial Regression, Splines

Transformations of the response and predictors can improve the fit and correct violations of mode...

Regression Diagnostics

The estimation and inference from the regression model depends on several assumptions. These assu...

Variable Selection

Variable selection is intended to select the "best subset" of predictors. Variable selection shou...

Midterm Cheat Sheet

Linear Regression Predicting a CI new obs adds a 1 to se(y): 𝛽0 + 𝛽2x...

Tree Based Methods

Classification and regression trees can be generated from multivariable data sets using recursive...

Principal Component Analysis

The goal of supervised learning methods (regression and classification) is to predict outcome/res...

Intro to Cluster Analysis

Clutsering refers to a very broad set of techniques for finding subgroups, or clusters, in a data...

Classification

Classification is often used to describe modeling of a categorical outcome. In binary classific...

Two-Way ANOVA

We've learned about One-Way Analysis of Variance (ANOVA) previously, it is a regression model for...