Solve in R programming.Using the wage data in the ISLR package, we want to build a predictive model that will predict two features.1) The first is we want to build a model using non-linear trends and...

Solve in R programming.

Using the wage data in the ISLR package, we want to build a predictive model that will predict two features.

1) The first is we want to build a model using non-linear trends and functions to predict wage of an individual. All variables in the ISLR data are available to you and any method you know. Subset the data such that wages below $250k are the only observations in the data set. Discuss in details with model accuracy and the model that you have selected. Briefly describe the variables selected and why? Also comment on the features coefficient in details.

2) Also using these trends, look at the prediction accuracy of models developed to predict whether someone’s salary is above or below (logistic regression), the median ($104k) wage in this data. Discuss this in details.