The $`$Salaries$`$ data in the $`$carData$`$ package contains information on academic salaries in $2008$ and $2009$ in a college in the US$.$ A data dictionary can be found in the $`$help$`$ file for the data. This data was collected as part of an on$-$going effort of the college to monitor salary differences between male and female faculty members. We have been asked to investigate the gender gap in the data, but also what other information that may be relevant to administrators $($i$.$e$.$ salary growth for years of service, discipline based growth, etc$).$ Investigate if there is a gender gap, but also provide insights on other drivers that you may see of salary in the data. Is your model suitable to make offers based on the information provided? Explain your reasoning. Provide insights into any other information you find of interest. Please show R code