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The Salary Gender data contains the variables Salary, Gender (0: Female - 1: Male), Age and PhD (0: No PhD - 1: Has PhD) from a sample of people from a city in the United States of R R 4.2.1 . ~/Downloads/Proyecto 1-20221017/ America. > table(Salary) Remember that graphs and tables should be well organized and well labeled. In addition, Salary discussions should be in the context (and accurate) of the specific variables being examined. 0.25 1.7 1.8 2.5 12 14.7 15 15.2 16 H N H H H Part I 18.6 22 22.3 24 25 25.8 28 28.6 32 34.8 35 35.1 H Build a boxplot side by side for the Salary and Gender variables. H H H Sample a table summarizing five issues (add average) for the wages of each group (men 36 38 38 . 8 39.8 40 40.7 45 .6 HUNT and women). HOO HON H m Discuss: Use the graph and summary of the five numbers to decide whether there is 96 100 102 106 HUH inequality in wages based on people's biological sexes. In case you conclude that there is Am H H H inequality, then you should describe how the groups differ. H H Construct a side-by-side box diagram for the Salary and PhD variables. 115 120 125 130 140 150 152 160 190 + LO Sample in a table of the five numbers (add average) for N N the salaries of each group (I did not have a PhD and I did have a PhD). > table (Gender) Gender Analyze: Use the graph and summary of the five issues to conclude whether there is 0 1 50 50 or no inequality in wages based on the university degree obtained by individuals. In case > table (PhD) you conclude that there is inequality, then you should describe how the groups differ. PhD Part II 61 39 Construct a scatterplot that includes the regression line and its equation for the variables > table(Age) Salary and Age. Also find the correlation coefficient. Then indicate whether the linear association considered between the variables is strong, moderate, or weak. Age 20 22 23 24 25 26 27 28 29 30 32 33 34 36 37 41 42 43 44 45 46 47 48 49 51 52 53 Discuss: What happens to the wages of older people? Use the 1 3 2 3 1 2 4 3 2 4 3 1 1 2 1 1 1 3 2 3 1 2 1 4 3 3 3 54 55 56 57 58 59 60 61 62 63 65 66 67 69 71 77 graphic and relevant numerical summaries to support your response. 3 2 4 1 2 1 5 2 3 2 5 3 2 1 3 1 Use the equation of the regression line and predict the projected wage for a 40-year-old