Logistic Regression

Assumption for logistic regression

• error is normally distributed

• error is identic

• error is independent

• no multicollinearity

Type of logistic regression, except

• Binary Logistic Regression

• Dummy Logistic Regression

• Multinomial Logistic Regression

• Ordinal Logistic Regression

Predictor variable inlogistic regression must be on a continuous scale

• TRUE

• FALSE

The data scale for response variable in logistic regression is

• only nominal

• nominal and ordinal

• only ordinal

• interval

Independent test for 2 categorical variable is

• Chi-square test

• pearson correlation

• T-test

• ANOVA

"The probability of an event occurring in the first group is greater than in the second group", is the interpretation of

• Odds ratio more than one

• Odds ratio less than one

• parameter estimation

• odds ratio

"The probability of an event occurring in the first group is less than in the second group", is the interpretation of

• Odds ratio more than one

• Odds ratio less than one

• parameter estimation

• odds ratio

Logistic regression when the response variable has more than 3 category with the data scale is nominal

• Multinomial Logistic Regression

• Multinominal Logistic Regression

• Binomial Logistic Regression

• Ordinal Logistic Regression

Logistic regression is sensitive to imbalance data

• TRUE

• FALSE

The distribution for response variable with 2 category is

• binomial

• bernoulli

• multinomial

• binary