Sample data for the year 2021 about productivity and job satifaction has been collected by a marketing firm from a random sample of 25 employes. Past evidence shows that the two variables are approximately normally distributed A test has been conducted about the relationship between productivity and job satisfaction in the population at the 0.05 level of significance (alpha employee ID * productivity job satisfaction 64.00 50.0 Scatterplot for productivity vs. job satisfaction IN 83.00 59.00 42.00 62.00 100 4 41.00 22.00 90 5 31.00 27.00 6 66.00 14.00 80 61.00 47.00 70 84.00 50.00 LD 09 32.00 53.00 60 10 42.00 26.00 job satisfaction 50 11 85.00 26.00 12 79.00 55.00 40 82.00 19.00 30 14 74.00 53.00 15 51.00 62.00 20 16 35.00 31.00 10 17 52.00 44.00 18 74.00 49.00 0.00 20.00 40.00 60.00 80.00 100.00 19 83.00 16.00 20 68.00 21.00 productivity 21 84.00 25.00 22 77.00 41.00 23 50.00 45.0 24 80.00 30.00 25 65.00 37.00 n = 20 linear correlation coefficient (r) = -0.094405588 Select hypotheses: Ho : population linear correlation (rho) = 0 Hi : population linear correlation (rho) # 0 Set level of significance: alpha = 0.05 Select test: two tail, t-test for linear correlation Calculate the test statistic: df = 18 test t-statistic = -0.402 p-value= 0.346