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Consider the following bivariate table showing the relationship between job satisfaction (low or high) and longevity, that is, the time working for the company (low

Consider the following bivariate table showing the relationship between job satisfaction (low or high) and longevity, that is, the time working for the company (low = less than 2 years; high = 2 years or more), among workers for a fast-food chain: Job Satisfaction (X) Longevity (Y) Low High Totals Low 45 30 75 High 44 103 147 Totals 89 133 222 Gamma = +0.5567 The data in the table suggest that there isa positive association between job satisfaction and longevity. The partial tables showing the bivariate relationship between job satisfaction and longevity after controlling for age follow. Compute and select the correct value for gamma from the dropdown menu for each of these partial tables. A. Below 40 Job Satisfaction (X) Longevity (Y) Low High Totals Low 25 9 34 High 28 31 59 Totals 53 40 93 Gamma = 0.2454 B. 40 or above Job Satisfaction (X) Longevity (Y) Low High Totals Low 20 21 41 High 16 72 88 Totals 36 93 129 Gamma =+ 0.1892 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 (age)

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