able[[months,age,hours,blips],[11,36,8,16.23],[28,27,16,11.4],[30,20,8,11],[5,29,8,5.77],[4,32,42,7.67],[60,52,8,12.68],[48,64,16,11.38],[50,24,25,14.93],[52,24,8,12.02],[38,39,25,10.46],[26,29,16,10.33],[12,19,16,8.64],[10,36,42,9.45],[67,35,42,11.69],[24,51,25,9.48],[10,18,16,7.91],[12,25,8,10.32],[5,22,42,7.3],[26,42,25,10.1],[23,35,42,10.11],[49,22,42,10.84],[37,21,42,13.9],[1,24,42,7.74],[3,20,16,8.03],[35,40,25,11.25],[20,26,42,11.84],[20,41,42,8.96],[23,37,42,12.19],[5,27,16,9.33],[36,20,8,10.95],[3,22,42,6.87],[26,37,25,12.92],[4,29,42,8.06],[16,36,16,11.17],[17,51,16,9.87],[2,24,42,8.49],[38,24,8,10.23],[59,28,25,12.12],[5,24,16,7.63],[1,29,42,8.1],[3,21,25,7.57],[47,41,8,10.32],[34,39,42,11.47],[7,37,42,11.02],[1,18,42,8.56],[3,21,42,8.62],[1,18,42,6.87],[18,42,7.5,],[22,42,8.67,],[1,22,6.49,]]
Use simple linear regression to assess whether the average number of "blips" can be predicted by
i) age
number of months they have worked
the number of hours they work in a week
months 11 28 30 5 4 60 48 50 52 38 26 12 10 67 24 10 12 5 26 23 49 37 1 3 35 20 20 23 5 36 3 26 4 16 17 2 38 59 5 1 3 26 47 34 7 17 1
age 36 27 20 29 32 52 64 24 24 39 29 19 36 35 51 18 25 22 42 35 22 21 24 20 40 26 41 37 27 20 22 37 29 36 51 24 24
hours 8 16 8 8 42 8 16 25 8 25 16 16 42 42 25 16 8 42 25 42 42 42 42 16 25 42 42 42 16 8 42 25 42 16 16 42 8 25 16 42 25 8 42 42 42 42 42 42 5 42
blips 16.23 11.4 11 5.77 7.67 12.68 11.38 14.93 12.02 10.46 10.33 8.64 9.45 11.69 9.48 7.91 10.32 7.3 10.1 10.11 10.84 13.9 7.74 8.03 11.25 11.84 8.96 12.19 9.33 10.95 6.87 12.92 8.06 11.17 9.87 8.49 10.23 12.12 7.63 8.1 7.57 10.32 11.47 11.02 8.56 8.62 6.87 7.5 8.67 6.49
24 29 21 41 39 37 18 21 18
5
18 22
7. Use simple linear regression to assess whether the average number of"blips" can be predicted by age [12] number of months they have worked iii) [12] the number of hours they work in a week [12]