Regression on It was simple
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Recent content in Regression on It was simpleHugo -- gohugo.ioHansjörg PlieningerMon, 13 May 2019 00:00:00 +0000Regression Modeling With Proportion Data (Part 2)
https://hansjoerg.me/2019/05/13/regression-modeling-with-proportion-data-part-2/
Mon, 13 May 2019 00:00:00 +0000https://hansjoerg.me/2019/05/13/regression-modeling-with-proportion-data-part-2/Data Analyses: Beta and Quasi-Binomial Regression Results Plot Model Comparison Effect Size In the first part of this post, I demonstrated how beta and quasi-binomial regression can be used with dependent variables that are proportions or ratios. I applied these models to attendance rates of the German Handball-Bundesliga. In the second part, I want to investigate whether attendance increased after the World Championship that took place in January 2019 in Denmark and Germany (with a new spectator record).Regression Modeling With Proportion Data (Part 1)
https://hansjoerg.me/2019/05/10/regression-modeling-with-proportion-data-part-1/
Fri, 10 May 2019 00:00:00 +0000https://hansjoerg.me/2019/05/10/regression-modeling-with-proportion-data-part-1/Modeling Proportion Data Application: Handball-Bundesliga Setup Selected Variables Initial Results for Beta Regression Illustrative Plot of Estimates Residuals Model Comparisons Models Considered Model Performance Prediction of Future Matches Resources As a data scientist, one often encounters dependent variables that are proportions: for example, the number of successes divided by the number of attempts, party vote, proportion of money spent for something, or the attendance rate of public events.Categorical Predictors in ANOVA and Regression
https://hansjoerg.me/2018/07/10/contrasts-in-anova-and-regression/
Tue, 10 Jul 2018 00:00:00 +0000https://hansjoerg.me/2018/07/10/contrasts-in-anova-and-regression/Regression Perspective ANOVA and SPSS Perspective How to Combine the Perspectives? Solution Examples Example data Dummy Coding Planned Comparisons/Contrast Coding Helmert Coding Orthogonal and Nonorthognoal Contrasts References Data with categorical predictors such as groups, conditions, or countries can be analyzed in a regression framework as well as in an ANOVA framework. In either case, the grouping variable needs to be recoded, it cannot enter the model like a continuous predictor such as age or income.