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Posted: Wed Jul 06, 2022 6:40 pm
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Using this data set construct a solid multivariable regressionmodel by brainstorming which factors can be relevant to prediction,obtain data and use R to carry out statistical analysis.
Find which factors are significant for the model (20-25factors). Including categorical variables along with continuousvariables is strongly encouraged
Check the assumptions of the model by carrying out residualanalysis (see the R video on that in particular) and providerecommendations if there are significant violations. Test relevanthypotheses. Remove insignificant variables and analyze the newmodel using R tools.
Include Appendix with R code.
Using this data set construct a solid multivariable regressionmodel by brainstorming which factors can be relevant to prediction,obtain data and use R to carry out statistical analysis.
Find which factors are significant for the model (20-25factors). Including categorical variables along with continuousvariables is strongly encouraged
Check the assumptions of the model by carrying out residualanalysis (see the R video on that in particular) and providerecommendations if there are significant violations. Test relevanthypotheses. Remove insignificant variables and analyze the newmodel using R tools.
Include Appendix with R code.