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We test the association between different variables in a penguin species dataset. The techniques used are ANOVA testing and regression analysis.

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ElenaPadgett/ANOVA-and-Linear-Regression-Analysis

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ANOVA and Regression Analysis

The goal of the analysis is to test the association between different variables in a dataset. The techniques used are ANOVA testing, t-test, and linear regression.

The data comes from R package palmerpenguins.

Full citation: Horst AM, Hill AP, Gorman KB (2020). palmerpenguins: Palmer Archipelago (Antarctica) penguin data. R package version 0.1.0. https://allisonhorst.github.io/palmerpenguins/. doi: 10.5281/zenodo.3960218.

According to R Documentation, the dataset "includes measurements for penguin species, island in Palmer Archipelago, size (flipper length, body mass, bill dimensions), and sex.". For full description of variables, type ?penguins

The book "Advancing into Analytics: From Excel to Python and R" (2021, O'Reilly Media) by George Mount was invaluable reference resource in conducting the analysis.

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We test the association between different variables in a penguin species dataset. The techniques used are ANOVA testing and regression analysis.

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