Engineering, 14.04.2020 21:23 hannahbannana98

HW10: Use the R program code below to generate all possible and stepwise selection procedures on the 6 predictors provided in the lmod statement. Submit the following output and summary into Canvas. generated output (graphic output is not needed)a short paragraph discussing the model you would choose

library(faraway) #this command brings in a library of regression functions#install. packages("olsrr") #install olsrr if package has not been installed on your computerlibrary(olsrr)data(fat, package="faraway")#Can we predict body fat using only easy-to-record measurements?#use the variables specified in this modellmod <- lm(brozek ~ weight + neck + chest + abdom + hip + thigh, data=fat)ols_step_all_possible(lmod )ols_step_forward_p(lmod, details=TRUE)ols_step_backward_p(lm od, details=TRUE)ols_step_both_p(lmod, details=TRUE)

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HW10: Use the R program code below to generate all possible and stepwise selection procedures on the...

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