1. Before estimating the regression equation, conduct an overall preliminary analysis of the 
relationship between workers' wages and 
a. sector, 
b. gender,
c. educational attainment,
d. age and 
e. marital status. 
Use tables and/or appropriate graphs for the categorical variables (male, public, degree, 
married) and the numerical variable (age). 
Interpret your findings by comparing the earnings of the counterparts based on each of 
these dummy variables and also explain the kind of relationship you observe between 
workers' earnings and age?

gender wage degree Female 45 20.5938 No married No Female 23 21.2813 No No 44 22.5 No Yes Female Male 27 22.9167 Yes No 28 23.1053 No No Female 24 23.2955 No No Female 31 23.34 Yes No Male 28 24.2368 Yes No Female 39 25 Yes Yes Female 22 26.3158 Yes No Female 27 27.7778 Yes No Female 64 28.5714 No No Female 44 29.2222 Yes No Female 25 29.25 Yes No Female 22 30.6667 No No Male 28 30.6667 No No Female 27 30.85 No No Male Male 54 30.9091 No Yes 45 31.25 Yes Yes Male 28 31.875 No No Female 46 32.4324 No No Female 43 33.575 Yes Yes Female 61 33.625 No Yes Male 38 33.75 No No Female 26 34 Yes Yes Male 30 35.5405 Yes No 28 35.7143 No No Female 28 35.7692 Yes No Female 34 35.9737 No Yes Female 25 36.4333 No No Female 32 36.6444 Yes Yes Male 48 37.2105 No No Female 24 37.2533 Yes No Female 29 37.3333 No No 41 374889 Yes Yes Female 37 37.5 Yes Yes Female 57 37.5 No Yes Male 32 39.4737 No No Male 31 39.8 Yes No Male 31 40 No No Female 51 40.5405 No Yes Female 32 41.0952 No No 33 41.225 Yes Yes Female 45 41.3667 No Yes Male 53 41.6 No No Female 32 42.1316 Yes Yes 63 42.4242 Yes No Female 46 43.05 No Yes Male 58 45.1304 Yes Yes Male 30 45.94 Yes Yes Female 29 46.24 No No Male 46 47.5 No. No 40 47.6744 Yes No Female Male 52 47.7111 Yes No 39 48.125 Yes No Male 65 49.4737 No Yes Male 59 50 No No Male 40 50 Yes Yes Male 57 50 No No Male 26 50.35 Yes Yes 37 50.875 Yes No Female 31 51.3514 No Yes Male 44 51.45 No No Male 44 52.5 No No Female 31 52.6316 Yes No Female 31 52.75 Yes Yes Female 55 54.6 Yes Yes Female 41 55.5556 No No Female 60 55.5946 Yes Yes Female 31 55.6667 Yes Yes Female 51 56.5263 Yes Yes Male 39 57.1429 Yes No 40 57.76 No No Female 30 57.8684 No No Male 33 58.0526 No Yes Male 38 58.4524 Yes Yes Female 36 61.3667 Yes No Male 53 62.3 No No Male 56 64.4737 No Yes Male 48 64.48 No Yes 54 64.7 Yes No Female Male 49 64.725 Yes No 55 67.6546 Yes Yes Male 60 78.9143 Yes No Female 43 82.8947 Yes Yes Male 56 98.975 Yes Yes