QUESTION 1
 When 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
False
1 points
QUESTION 2
 Suppose that logit(p) = 0.53+0.24×1. What is the probability p when x1=10.
0.95 

0.54 

0.23 

None of the above 
1 points
QUESTION 3
Based on the table above, which of the following variables are linearly related to the logit of the dependent variable
Age and Income 

Age, Income and Friends business owners 

Age only 

Income only 
1 points
QUESTION 4
 When running multinomial regression, the categorical independent variable should be
put in the model as factors 

put in the model as covariates 

either is ok so long as the variable type for the variable is correctly set 

SPSS determines the variable type automatically based on stored values 
1 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 BMI 

increasing age and increasing weight 

increasing BMI 

increasing age and increasing BMI 
1 points
z
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