The table contains the resulting model from running a Logistic Regression model on the Beer Example. Predictor Estimate * Confidence Interval: Lower |Confidence Interval: Upper * Odds . Standard Error . Chi2-Statistic . P-Value Intercept -0.68189114 4.466222896 3.102440617 0.50566 1.930816988 0.12472338 0.723967 Gender -0.77788565 -2.182485624 0.626714325 0.459376 0.716645809 1.178209145 0.2777209 Married 0.16966095 -1.387487396 1.726809294 1.184903 0.79447804 0.04560369 0.8308978 Income 0.00027846 0.000154306 0.000402614 1.000278 6.33451E-05 19.32410808 1.103E-05 Age -0.22822109 -0.330902638 -0.125539532 0.795948 0.05238951 18.97679446 1.323E-05, Alternate Version of Logistic Regression Model Results Table Based on the model, the person most likely to prefer light beer is? Recall that gender=1 is male. Young, male, married with high income. O Old, rich, female and married. O Old, rich, male and single. O Young, married, female with high income. O Young, single female with a high paid job