4. Partial gamma Consider the following bivariate table showing the relationship between the frequency of job promotion (low or high frequency) and job satisfaction (low or high) among employees at a large corporation: Frequency of Promotion (X) Satisfaction (Y) Low High Totals Low 59 62 121 High 39 110 149 Totals 98 172 270 Gamma = +0.4571 The data in the table suggest that there is association between the frequency of job promotion and job satisfaction. The partial tables showing the bivariate relationship between the frequency of job promotion and job satisfaction after controlling for gender follow. Compute and select the correct value for gamma from the dropdown menu for each of these partial tables. A. Men Frequency of Promotion (X) Satisfaction (Y) Low High Totals Low 8 34 42 High 22 100 122 Totals 30 134 164 Gamma = B. Women Frequency of Promotion (X) Satisfaction (Y) Low High Totals Low 51 28 79 High 17 10 27 Totals 68 38 106 Gamma = Compared with the bivariate table, the partial tables show relationship between X and Y. This is evidence of relationship between the variables and implies that you should the variable Z (gender) in further analysis