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A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 = female, 1 = male) and job type (0 = clerical, 1 = technical). Table 4 ANOVA df SS MS F Significance F Regression 1004346.771 334782.257 5.96 3.12E-03 Residual 8 83 w 1461134.596 56197.48446 Total 2465481.367 Coefficients Standard Error Stat P-value Intercept 784.92 322.25 2.44 0.02 Service 9.19 3.2 2.87 0.01 Gender 222.78 89 2.50 0.02 Job -28 21 89.61 -0.31 0.76 The result for the variable "Job" shows that O Technical jobs average $28.21 less than clerical jobs in monthly salary O Clerical jobs average $28.21 less than technical jobs in monthly salary O Clerical jobs average $784.92 more than technical jobs in monthly salary O Technical jobs average $32.97 more than clerical jobs in monthly salaryIn the below example from the lecture, what is the approximate mean life expectancy for people that smoke 15 cigarettes on average per day? 90 0 Mean of ACPD 85.0 Mean of LE 950 Point of Averages: (5, y) Life Expectancy () 70.0 65.C 60.0 Regression Line: LE = 85.72 -0.6282*ACPD SO 10 0 15.0 20.0 25.0 30.0 350 40.0 450 50.0 Average Cigarettes per Day (X) O About 68 Years About 70 Years O Between 75 and 80 Years O Between 65 and 70 Years