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
0 comments