9. Explain the business implication of using the Principal Component Analysis for this case study. How may PCs help in the further analysis? [Hint: Write Interpretations of the Principal Components Obtained]... 16 List of Figures Fig1:- Point Plot.. ..6. Fig2:- Heat Map. ...10 Fig3:- Box Plot. 12 Fig4:- Heat Map........ 15 Fig5:- Scree Plot....... ... 16 List of Tables Table1 Data Set Sample.. -.4 Table2 Summary of table.- . 4 Table3 Contingency Table(ANOVA). Table4 Contingency Table(ANOVA) Table5 Contingency Table(2-way ANOVA) Table6 Dataset Sample.. .8 Table7 Summary of Table. .8 Table8 Contingency Table(Scaling).. 10 Table9 Contingency Table(Correlation).. -.. 11 Table10 Contingency Table(PC).... 14 Problem -1A Salary is hypothesized to depend on educational qualification and occupation. To understand the dependency, the salaries of 40 individuals [SalaryData.cov] are collected and each person's educational qualification and occupation are noted. Educational qualification is at three levels, High school graduate, Bachelor, and Doctorate. Occupation is at four levels, Administrative and clerical, Sales, Professional or specialty, and Executive or managerial. A different number of observations are in each level of education - occupation combination. [Assume that the data follows a normal distribution. In reality, the normality assumption may not always hold if the sample size is small.]