used to predict another. Based on the provided raw data, develop four linear regression models, each between one independent variable and one dependent variables. (Independent variables are the arm strength and the grip strength and the dependent variables are the supervisory rating and the simulated job performance value.) Discuss the results of each derived linear regression model and evaluate how well-fit it is based on analyzing the residuals as well as the R^2 metric. 5) Report and presentation Prepare a report based on the above analyses including: . Summary of the case study, problem statement and objectives . Three different sections for your 1) scatterplots, 2) correlation analysis and 3) regression analysis. Both the conducted analysis as well as your detailed discussion on the derived results are important. . Your observations about the developed models and the summary of your conclusions