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QUESTION 1When using binary or multinomial logistic regression, both ordinal and nominal categorical independent variables are treated the same because they are all converted into binary dummy variables. True False1 points QUESTION 2Suppose that logit(p) = 0.53+0.24×1. What is the probability p when x1=10.0.950.540.23None of the above1 points QUESTION 3 Based on the table above, which of the following variables are linearly related to the logit of the dependent variableAge and IncomeAge, Income and Friends business owners Age onlyIncome only1 points QUESTION 4When running multinomial regression, the categorical independent variable should be put in the model as factorsput in the model as covariateseither is ok so long as the variable type for the variable is correctly setSPSS determines the variable type automatically based on stored values1 points QUESTION 5 The table shows the logit regression for predicting the chance of getting diabetes. Based on the results, which of the following will increase the chance of getting diabetes?increasing age, increasing weight, and increasing BMIincreasing age and increasing weightincreasing BMIincreasing age and increasing BMI1 points z