Exercise 1 – Unemployment Study A study provided data on variables that may be related to the number of weeks a manufacturing worker has been jobless. The dependent variable in the study (Weeks) was defined as the number of weeks a worker has been jobless due to a layoff. The following independent variables were used in the study. • Age – the age of the worker • Educ – the number of years of education • Married – a dummy variable: 1 if married, 0 otherwise • Head – a dummy variable: 1 if the head of the household, 0 otherwise • Tenure – the number of years on the previous job • Manager – a dummy variable: 1 if management occupation, 0 otherwise • Sales – A dummy variable: 1 if sales occupation, 0 otherwise Altogether, details were collected for 50 displaced worker and these are reported in Table 3 below. Analyse the data set and write a report presenting a summary of your analysis, including key statistical results, conclusions, and recommendations, in a managerial report. Include any appropriate technical material (computer output, residual plots, etc.) in an appendix. (10%) Table 3 – Data for the Unemployment Study Weeks Age Educ Married Head Tenure Manager Sales 37 30 14 1 1 1 0 0 62 27 14 1 0 6 0 0 49 32 10 0 1 11 0 0 73 44 11 1 0 2 0 0 8 21 14 1 1 2 0 0 15 26 13 1 0 7 1 0 52 26 15 1 0 6 0 0 72 33 13 0 1 6 0 0 11 27 12 1 1 8 0 0 13 33 12 0 1 2 0 0 39 20 11 1 0 1 0 0 59 35 7 1 1 6 0 0 39 36 17 0 1 9 1 0 44 26 12 1 1 8 0 0 56 36 15 0 1 8 0 0 31 38 16 1 1 11 0 1 62 34 13 0 1 13 0 0 25 27 19 1 0 8 0 0 72 44 13 1 0 22 0 0 65 45 15 1 1 6 0 0 44 28 17 0 1 3 0 1 49 25 10 1 1 1 0 0 80 31 15 1 0 12 0 0 7 23 15 1 0 2 0 0 14 24 13 1 1 7 0 0 94 62 13 0 1 8 0 0 48 31 16 1 0 11 0 0 82 48 18 0 1 30 0 0 50 35 18 1 1 5 0 0 37 33 14 0 1 6 0 1 62 46 15 0 1 6 0 0 37 35 8 0 1 6 0 0 40 32 9 1 1 13 0 0 16 40 17 1 0 8 1 0 34 23 12 1 1 1 0 0 4 36 16 0 1 8 0 1 55 33 12 1 0 10 0 1 39 32 16 0 1 11 0 0 80 62 15 1 0 16 0 1 19 29 14 1 1 12 0 0 98 45 12 1 0 17 0 0 30 38 15 0 1 6 0 1 22 40 8 1 1 16 0 1 57 42 13 1 0 2 1 0 64 45 16 1 1 22 0 0 22 39 11 1 1 4 0 0 27 27 15 1 0 10 0 1 20 42 14 1 1 6 1 0 30 31 10 1 1 8 0 0 23 33 13 1 1 8 0 0