Use R and the Employees.csv dataset to perform a LOGISTIC regression analysis with technical as the response. R will model the log odds ratio of the likelihood that is "technical" versus the likelihood that the employee is "non$-$technical" $($administrative$).$ Use independent variable currentsalary ONLY $($X$).$

Break the data into training and test sets by randomly selecting $70\%$ of the data to train the model. Make predictions for cases in the test set, and classify subjects as technical $/$ non$-$technical based on a $50\%$ rule $($if p$>=50\%,$ then the employee is technical, otherwise not$).$

Based on your assessment of this model, would you use it to make predictions about future employees?

Group of answer choices

No$,$ the model lacks stability though it has accuracy $($we need a larger sample$)$

Yes, the model is stable enough to discount its inaccuracy

Yes, the model is both stable and accurate

No$,$ the model lacks accuracy, though it has stability $($we need to add predictors$)$