Question: By Using the menarche dataset from the mass library, someone please explain how to do this on R and what exactly are they asking with

By Using the menarche dataset from the mass library, someone please explain how to do this on R and what exactly are they asking with steps please

By Using the menarche dataset from the mass library, someone please explain

Use cbind to form a matrix containing two columns with the positive and negative counts for the groups (i.e. Menarche and Total - Menarche) and model these as a function of Age (or a function of Age) using a logistic regression generalized linear model. Assume a binomial fam- ily and try each of the following three link functions: logit, probit and complementary log-log (cloglog). Check for significant differences between these models using ANOVA - are there any? Add 1 to any 0 Menarche values and subtract 1 from any Menarche values satisfying Total = Menarche and refit your models this can be viewed as a form of regularization that reflects the fact that under our model we really shouldn't see any certain outcomes unless Age = 10. What affect does making these changes have on the model fit? Plot each of your models over a scatterplot of Age-vs-Menarche/(Total - Menarche). Do any seem to be a better or worse fit just by eyeballing the plots (consider the form of the plots both inside and outside of the data range)? = Use cbind to form a matrix containing two columns with the positive and negative counts for the groups (i.e. Menarche and Total - Menarche) and model these as a function of Age (or a function of Age) using a logistic regression generalized linear model. Assume a binomial fam- ily and try each of the following three link functions: logit, probit and complementary log-log (cloglog). Check for significant differences between these models using ANOVA - are there any? Add 1 to any 0 Menarche values and subtract 1 from any Menarche values satisfying Total = Menarche and refit your models this can be viewed as a form of regularization that reflects the fact that under our model we really shouldn't see any certain outcomes unless Age = 10. What affect does making these changes have on the model fit? Plot each of your models over a scatterplot of Age-vs-Menarche/(Total - Menarche). Do any seem to be a better or worse fit just by eyeballing the plots (consider the form of the plots both inside and outside of the data range)? =

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