Question: You should choose a topic that interests you, construct a solid multivariable regression model by brainstorming which factors can be relevant to prediction, obtain data
You should choose a topic that interests you, construct a solid multivariable regression model by brainstorming which factors can be relevant to prediction, obtain data and use R to carry out statistical analysis.
It is expected that you work with a sufficiently large data set originally to find which factors are significant for the model (I expect 20-25 factors). Including categorical variables along with continuous variables is strongly encouraged.
Check the assumptions of the model by carrying out residual analysis (see the R video on that in particular) and provide recommendations if there are significant violations. Test relevant hypotheses. Remove insignificant variables and analyze the new model using R tools. I can provide guidance and advice during the course of project, if needed. Please ask your questions during class/office hours or email. You will need to submit a report covering the background information (the topic ofresearch), the objective of your research, model description with following rigorous statistical analysis and conclusions.
There is no requirement on the size of the final report but typically it should be 10-15 pages + Appendix with R code. Make sure to indicate all additional resources you use, including the data sources, in the reference list. Include your R code in the Appendix of the report
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