Interpret the log odds for the married coefficient: Frequency Table of obesity by married Frequency Table of obesity by Male Row Pct Row Pct married Male(Male) obesity 0 1 Total obesity 0 1 Total 150 199 349 170 179 349 42.98 57.02 48.71 51.29 1619 2305 3924 2005 1919 3924 41.26 58.74 51.10 48.90 2175 2098 4273 Total 1769 2504 4273 Total Statistics for Table of obesity by Male Statistics for Table of obesity by married Statistic DF Value Prob Statistic DF Value Prob Chi-Square 1 0.7296 0.3930 Chi-Square 0.3913 0.5316 Frequency Table of obesity by College Frequency Table of obesity by minority Row Pct College(Graduated from College) Row Pct minority obesity Total obesity Total 263 85 348 0 156 193 349 75.57 24.43 44.70 55.30 3082 837 3919 1977 1947 3924 78.64 21.36 50.38 49.62 Total 3345 922 4267 Total 2133 2140 4273 Frequency Missing = 6 Statistics for Table of obesity by minority Statistics for Table of obesity by College Statistic DF Value Prob Statistic DF Value Prob 4.1405 0.0419 Chi-Square 1.7758 0.1827 Chi-Square Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Exp(Est) Intercept -2.6436 0.1862 201.5554 <.0001 college male .956 exactage minority married odds ratio estimates wald effect point estimate confidence limits vs df value prob chi-square analysis of maximum likelihood standard parameter error pr> ChiSq Exp(Est) Intercept -2.6436 0.1862 201.5554 <.0001 college male exactage minority married odds ratio estimates wald effect point estimate confidence limits vs o a. the log of being obese among people is more compared to unmarried people. b. than c. are likely be d. times as>