'Regression diagnostics' diaporamas de présentation

Lecture Ten

Lecture Ten. Where Do We Go From Here?. Contingency Tables. Regression. Properties Assumptions Violations Diagnostics. Modeling. ANOVA. Count. Probability. Probability. Lecture. Part I: Regression properties of OLS estimators assumptions of OLS pathologies of OLS

867 views • 79 slides

Applied Linear Regression

1.12k views • 69 slides

Multiple Regression

Multiple Regression. Dr. Andy Field. Aims. Understand When To Use Multiple Regression . Understand the multiple regression equation and what the betas represent. Understand Different Methods of Regression Hierarchical Stepwise Forced Entry

2.36k views • 51 slides

Model Adequacy

Model Adequacy. Testing Assumptions, Checking for Outliers, and More. Normal distribution of residuals. Our normality assumption applies to the residuals One can simply save them and plot a density curve/histogram

483 views • 28 slides

Regression diagnostics

Regression diagnostics. Hein Stigum Presentation, data and programs at: http://folk.uio.no/heins/Talks/. Jan-20. H.S. 1. Agenda. Linear regression diagnostics Assumtions Robust results (Logistic regression) (Poisson regression). 2 January 2020. H.S. 2. Linear regression.

286 views • 23 slides

Lecture 18: Thurs., March 18

Lecture 18: Thurs., March 18. R-Squared. The R-squared statistic, also called the coefficient of determination, is the percentage of response variation explained by the explanatory variable. Unitless measure of strength of relationship between x and y

327 views • 14 slides

REGRESSION ANALYSIS WITH A SIMULATION SPIN

194 views • 12 slides