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Table 4. Results of multiple logistic regression analysis DV1: DV2: Current Smoking Depression Independent variable AOR (95% CI) AOR (95% CD) Sex Male 1.28 (1.25, 1.30) 0.52 (0.51, 0.53) Female Reference Reference Race/ethnicity Non-Hispanic White Reference Reference Non-Hispanic Black 1.22 (1.18, 1.27) 0.59 (0.57, 0.62) Hispanic 0.80 (0.77, 0.83) 0.68 (0.65, 0.70) Non-Hispanic Other 1.22 (1.18, 1.26) 0.71 (0.69, 0.74) Age group 18-24 Reference Reference 25-34 2.49 (2.36, 2.63) 1.03 (0.99, 1.08) 35-44 3.00 (2.84, 3.17) 0.89 (0.85, 0.93) 45-54 2.59 (2.45. 2.73) 0.83 (0.79, 0.87) 55-64 2.44 (2.31, 2.57) 0.83 (0.79, 0.86) 65+ 1.14 (1.09, 1.21) 0.61 (0.59, 0.64) Obese status Underweight 1.98 (1.86, 2.12) 1.13 (1.05, 1.22) Normal weight Reference Reference Overweight 0.78 (0.76, 0.80) 1.17 (1.14, 1.20) Obese 0.69 (0.68, 0.71) 1.60 (1.57, 1.64) # of days physical health not good Days (0-30) 1.02 (1.02, 1.02) 1.03 (1.03, 1.03) # of days mental health not good Days (0-30) 1.03 (1.03, 1.03) 1.10 (1.09, 1.10) DV = dependent variable. AOR = adjusted odds ratio. CI = confidence interval. Variables in the table were adjusted in each regression modelExample Study: This study examined factors associated with current cigarette smoking and depression among U.S. adults. There are two dependent variables (cigarette smoking and depression). Table 3. Chi-square test results between each independent variable and each dependent variable Q13) How many Chi-square tests are in Table 3 (5 points)? Q14) How many group differences in the prevalence of current cigarette smoking or the prevalence of depression are statistically significant in Table 3 (5 points)? * Hint for (13)-014): Check p-value. Table 4. Results from multiple logistic regression Q15) Is sex a significant predictor of both cigarette smoking and depression, adjusting for all other variables in the table (5 points)? Present the statistical evidence your answer is based upon. Example Answer: Sex is a significant predictor of both cigarette smoking (AOR - 1.28: 95%% CI-1.25, 1.30) and depression (AOR = 0.52: 95. . CI = 0.51, 0.53), adjusting for all other variables, as 95% CIs of both AORs do not contain/include pass 1. [*comment: if 95% CI does not contain/include pass 1, p-value is <.05 q16 what is the association of sex with cigarette smoking and depression points present statistical evidence your answer based upon. example answer: male adults are more likely to smoke ci="1.25," less have compared female adjusting for all other variables.q17 race a significant predictor both variables in table q18 q19 age q20 q21 obese status q22 q23 days physical health not good q24 q25 mental q26 hint check adjusted odds ratio confidence interval chi-square test results between each independent variable dependent dv dv2: current p-value prevalence non-hispanic white black hispanic group underweight=".001" normal weight overweight variable.>