What conclusions do you draw from your analysis? Copy and paste the data into Excel and conduct all the analysis in Excel. Worker id Wage Age Edu Gender Size 0 30 7 046 11 24 4 23 31 N ol IE O NE 42 O 0 1 11 36 13 6 9 9 0 0 1 o S 1 1. 0 0 24 10 114 0 0 21491 31 30 49 141 4 23 40 11 $ 1932 10 34 47 14 33 61191 21 35 15 25 SI 11 1 295014 11 21 37 131 12 34 57 14 13 11 231 1 14 16 0 10 15 19 44 10 16 1840 121 17 16 34 12 18 251 49 11 19 20 54 131 20 25 Se 18 21 211 4 10 22 29 53 13 23 20 44 10 24 23 41 100 25 19 33 91 26 32 45 14 29 44 121 2 11 34 11 20 28 411 13 30 2945141 31 33 48 10 32 25511 2047 14 2339 3S 242 14 36 2746 10 33 26 54 10 38 1940 10 39 1742 121 40 274519 41 3147 141 42 34 45 13 43 25 45 13 44 22 45 11 45 34 53 151 46 30 421 141 47 28 57 151 48 33 51 12 49 13 23 10 50 2945141 51 36 57 10 521 20 121 LE 1 10 1 10 17 7 . 15 10 16 1137 21 02 23 22 43 14 1 0 0 45 127 16 SG | 115 1191 0 17 EL 80 $o O 0 9 25 0 13 0 91 0 40 56 57 58 311 63 151 38 52 11 27] 441 17 29 441 13 35 621 15 281 321 161 28 441 131 33 58 16 0 14 ol 761 0 19 Ol 27 1 22 59 60 where: Worker_id = Worker identifier Wage = Wage of the worker in pounds per hour worked Age = Age of the worker Edu = Number of years of education of the worker Gender = Dummy variable indicating whether the worker is male (Gender=0) of female (Gender=1) Size = Number of workers in the firm employing the worker 2