Problem 2 Scenario: You are the CHRO of Kramerica lndustries, a consulting firm. You aretasked with increasing employee productivity and improving hiring practices overthe next eighteen months. Use the Employees.csv to answer the questions in thisproblem. For ALL problems, level of significance a = 0.05 You will be creating a regression model of employee performance to betterunderstand employee motivations. The model should predict employeeperformance (performancereview) using the employee years of service, currentsalary, and leadership level within the company. a) What kind of regression model will you build and why? Without dividingthe data, build this model and write your model equation. b) Without dividing the data, make a single prediction of the performance reviewfor an employee with 3 years of service, at leadership level 4, making S98,000per year. c) Now, use R program to divide the data into a training set and a test set. Whatpercentage (%) of the data you've collected did you put into your training setand what percentage (%) in the test set? With what method did you select theobservations for your training dataset? Chronologically (earliest data intraining set) or randomly? d) Create the model described above using only the training data. What is themean absolute error/residual in the training set and what does it mean?(Explain in complete sentence making sure vou mention you mention units e) Create predictions and errors/residuals for the test set. What is the meanabsolute error in the test set and what does it mean? (Explain in completesentence making sure you mention you mention units f)is this a "good" model to use to make predictions to evaluate performance atKramerica? Explain the criteria you used in your analysis and the outcome ofyour evaluation.(Use specific numerical evidence).

his data represents information about all employees currently working at a particular firm