Linear vs Logistic Regression Quiz

What is the primary purpose of linear regression?

• Classify data into categories

• Predict categorical outcomes

• Estimate probabilities

• Predict continuous numerical outcomes

Which output type is associated with logistic regression?

• Continuous values

• Probabilities

• Quantitative outcomes

• Real numbers

What type of dependent variable does logistic regression use?

• Real numbers

• Continuous

• Qualitative

• Quantitative

Which loss function is used in linear regression?

• Mean Squared Error

• Cross-Validation Error

• Binary Cross-Entropy

• Log Loss

What assumption is NOT associated with linear regression?

• Normality of errors

• Homoscedasticity

• Independence of observations

• Linearity

In logistic regression, the output is interpreted as what?

• Direct prediction of outcome

• Continuous value

• Mean squared error

• Probability of belonging to a class

Which of the following is a use case for linear regression?

• Email spam detection

• Stock price prediction

• Disease diagnosis

• Classifying images

What is the complexity level of the logistic regression algorithm compared to linear regression?

• Much more complex

• Slightly more complex

• Equally complex

• Simpler

Which type of regression is logistic regression classified as?

• Time series analysis

• Clustering

• Regression

• Classification

What is the main difference in the dependent variable between linear and logistic regression?

• Both use the same type of dependent variable

• Linear regression uses quantitative variables, while logistic regression uses qualitative variables

• Logistic regression uses quantitative variables

• Linear regression uses qualitative variables