Statistical Modeling & Regression · Linear Regression & Diagnostics

Linear Regression: Influential Points and Outliers · Model Diagnosis

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Statistical diagnosis module

Overview

Topics covered

  • Introduction
  • Linear Regression: Influential Points and Outliers
  • The sensitivity of Ordinary Least Squares (OLS)
  • Matrix structure of the linear model and the projection matrix (Hat Matrix)
  • Taxonomy of anomalous observations
  • Atypical Data (Outlier)

Related concepts

Main connections

  • Residual analysis & diagnostics
  • Linear algebra & matrices
  • Variance & standard deviation
  • Linear regression
  • Calculus & differentiation
  • Quantiles & percentiles

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

Y=Xβ+ε
View LaTeX sourceY = X\beta + \varepsilon