Exploratory data analysis: for each variable in the dataset, assess data quality

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Write a 4 pages text report plus 4 to 5 pages of relevant R code output of a Generalized Linear Model Data Analysis Report using R for programming. It needs to follow the principles of statistical modeling: Please perform a data analysis to address the research question, keeping the following steps of statistical modeling in mind:

1 Exploratory data analysis: for each variable in the dataset, assess data quality, scale of measurement, shape of distribution, relation to other variables,...

2 Model formulation: characterization of the probability distribution of the response variable, and of the link between the expected response and the other variables

3 Parameter estimation: use of least squares and maximum likelihood (frequentist setting)

4 Residuals and model checking: assess model adequacy through (standardized) residuals

5 Inference and interpretation: hypothesis testing, parsimony (balancing goodness of fit and model complexity) Please respond with:

1. A report containing the analysis (in a readable format)

2. An R script containing all the relevant code used for the analysis books to be used for help: 1 McCullagh, P., and Nelder, J.A., Generalized Linear Models (2nd edition). Chapman and Hall, 1989. 2 Dobson, A.J., and Barnett, A.G., An Introduction to Generalized Linear Models (4th edition). Chapman and Hall, 2018.

3 Faraway, J.J., Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (2nd edition). Chapman and Hall, 2016.

 

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