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Suppose a researcher wishes to analyze the relationship between an individual's amount of yearly vacation time and that individual's stress level. For this study, the

Suppose a researcher wishes to analyze the relationship between an individual's amount of yearly vacation time and that individual's stress level. For this study, the researcher has decided to focus on stress levels of healthy adults. From a sample of 267 healthy adults, the researcher collects information from all the subjects about their stress (Y) levels and how much time they spend on vacation every year. Vacation time (X) is reported as low if an individual spends 7 days or fewer per year on vacation and high if the individual spends more than 7 days per year on vacation.After collecting the results from the study, the researcher constructs the following bivariate table for X and Y. Find the column percentages and compute the gamma. Complete the table by selecting the correct values from the dropdown menus provided.

Vacation Time (X)
Stress Level (Y) Low High Totals
Low 58 ( %) options: 39.6, 36.3, 63.7, 60.4 62 ( %) options: 63.7, 60.4, 36.3, 39.6 120
High 38 ( %)options: 39.6, 36.3, 63.7, 60.4 109 ( %)options: 63.7, 60.4, 36.3, 39.6 147
Totals 96 (100.0%) 171 (100.0%) 267
Gamma = + or - 2.1881, 0.3727, 1.0000, 0.4570

The data in the table show positive, perfect, negative or no association between these variables.

Suppose you decide to investigate the possible effect that an individual's health status might have on the relationship between vacation time and stress level. You collect data on health status and classify the results into one of two categories: whether an individual self-reports as being in good health (Good) or poor health (Poor). The partial tables showing the bivariate relationships for individuals in each category follow. Find the column percentages and compute the gammas for each. Complete the tables by selecting the correct values from the dropdown menus provided.A. Good Health

Vacation Time (X)
Stress Level (Y) Low High Totals
Low

33 ( %) options:

35.3, 56.9, 43.1, 64.7

18 ( %) options:

35.3, 56.9, 43.1, 64.7

51
High 25 ( %) 33 ( %) 58
Totals

58 (100.0%)options:

35.3, 56.9, 43.1, 64.7

51 (100.0%) options:

35.3, 56.9, 43.1, 64.7

109
Gamma = + or - 0.4570, 1.000, 0.2924, 0.7076, 0.4152

B. Poor Health

Vacation Time (X)
Stress Level (Y) Low High Totals
Low 25 ( %) options 36.7, 63.3, 65.8, 34.2 44 ( %)options 36.7, 63.3, 65.8, 34.2 69
High 13 ( %)options 36.7, 63.3, 65.8, 34.2 76 ( %)options 36.7, 63.3, 65.8, 34.2 89
Totals 38 (100.0%) 120 (100.0%) 158
Gamma = + or - 0.4570, 1.000, 0.7686, 0.2314, 0.5372

Compared with the bivariate table, the partial tables show a mixed, stronger. same or weaker relationship between vacation time and stress level. This is evidence of a spurious or intervening, interactive, fallacious, a direct relationship between the variables and implies you should incorporate, elaborate, disregard, modify the variable Z (health status) in further analysis.

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