For this and the remaining Phase II assignments, you will continue to use the software accompanying the Cases in Compensation book (You can access the software here: Phase.II_.11.1e.jan_.1.2013.mdb). Read Analyze the Data (pgs. 52-53). First, adjust the survey data to account for its age. You are to adjust the age of the data by 3.2% to reflect 2018 salary increase forecasts (Links to an external site.)Links to an external site.by the Society for Human Resource Management (Please note: In my prior instructions I originally stated 3% but that was a typo. It should be 3.2% per SHRM). Second, address the following key questions: (1) What forms of pay should be use to compare FastCat with the external market (i.e., base, total cash, or total compensation)?; and (2) Which central tendency metric should FastCat use in conducting statistical analysis (i.e., mean, 25th percentile, 50th percentile, 75th percentile, or weighted mean – note: weighted mean is only available for total compensation data)? Third, read Be Sure You Understand Your Results (pgs. 53-54). Run your regression analyses (you may need to run multiple analyses to better understand the market). Once you have settled on a regression model, include as an exhibit the Regression Graph (see pg. 53 for an example). Lastly, read Evaluate the “Fit” Between FastCat and the Market (pgs. 54 -55). Using the R2 statistic, evaluate the appropriateness of this “Fit” for FastCat. As always, your rational and justification for each decision/recommendation must be clear and strong. Your responses should be typewritten (double-spaced, 1 inch margins, minimum/maximum font size of 12. In addition, it should include any and all prior work completed on FastCat and organized under the headings of Compensation Objectives, Phase 1, and Phase 2. Include sub-headings were appropriate