studentI need an explanation for this Supply Chain question to help me study.
- 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.
- Suppose that logit(p) = 0.53+0.24×1. What is the probability p when x1=10.
|None of the above|
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|
- 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|
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 age and increasing BMI|
Requirements: just answer itATTACHMENTSquiz_for_oscm_425