Logistic Regression Mastery Quiz
Logistic Regression Mastery Quiz
Test your understanding of logistic regression with this engaging quiz! Whether you are a student, teacher, or simply someone interested in statistics, this quiz will challenge your knowledge and help reinforce key concepts.
What you can expect:
- 6 Multiple Choice Questions
- Instant feedback on your answers
- Boost your statistical knowledge
Logistic regression is used when you want to:
Predict a dichotomous variable from continuous or dichotomous variables
Predict a continuous variable from dichotomous variables
Predict any categorical variable from several other categorical variables
Predict a continuous variable from dichotomous or continuous variables
The odds ratio is:
The ratio of the probability of an event not happening to the probability of the event happening
The probability of an event occurring
The ratio of the odds after a unit change in the predictor to the original odds
The ratio of the probability of an event happening to the probability of the event not happening
Large values of the log-likelihood statistic indicate:
That there are a greater number of explained vs. Unexplained observations
That the statistical model fits the data well
That as the predictor variable increases, the likelihood of the outcome occurring decreases
That the statistical model is a poor fit of the data
In binary logistic regression:
The dependent variable is continuous
The dependent variable is divided into two equal subcategories
The dependent variable consists of two categories
There is no dependent variable
0 and 1, or pass and fail or true and false is an example of?
Multinomial Logistic Regression
Binary Logistic Regression
Ordinal Logistic Regression
None of the above
Unlike multiple regression, logistic regression:
Does not have a score for the dependent variable
Does not have b weights
Does not have a dependent variable
Does not have an independent variable
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