Introduction to Regression Analysis

What does regression analysis primarily help to determine?

Which of the following is a common application of regression analysis?

In simple linear regression, what does the slope (m) represent?

What type of regression would be best for predicting whether an email is spam or not spam?

Which of the following is an assumption of linear regression?

Logistic regression outputs the probabilities concerning which event?

Which regression type uses regularization to prevent overfitting?

Which statement is true about polynomial regression?

If a dataset contains a categorical dependent variable, which regression method is unsuitable?

What does the ‘intercept’ in a linear regression model indicate?

Which of the following metrics is not commonly used to evaluate a linear regression model?

In the context of regression, ‘homoscedasticity’ refers to what?

Which technique could help if your regression model violates the assumption of no multicollinearity?

Which regression method might you choose if your dependent variable is the count of events (e.g., number of customer purchases)?

What is a key difference between statsmodels and scikit-learn when performing regression analysis?