Regression MCQs January 8, 2026November 18, 2024 by u930973931_answers 10 min Score: 0 Attempted: 0/10 Subscribe 1. What is the main goal of regression analysis? (A) To predict a categorical label (B) To predict a continuous value based on input variables (C) To group similar data points together (D) To identify associations between variables 2. Which of the following is a type of supervised learning algorithm used for regression? (A) K-means (B) DBSCAN (C) Linear regression (D) Apriori algorithm 3. What does the R-squared (R²) value represent in regression analysis? (A) The strength of the relationship between the features (B) The slope of the regression line (C) The proportion of the variance in the dependent variable explained by the independent variables (D) The correlation between the features 4. In simple linear regression, what is the equation of the model? (A) Y = mX + b (B) Y = aX² + bX + c (C) Y = β₀ + β₁X (D) Y = α + X 5. Which of the following is a non-linear regression model? (A) Logistic regression (B) Linear regression (C) Polynomial regression (D) Ridge regression 6. What is multicollinearity in regression analysis? (A) When independent variables are highly correlated with each other (B) When the dependent variable has missing values (C) When the data contains outliers (D) When the dependent variable is binary 7. What is regularization in the context of regression? (A) Reducing the number of data points in the dataset (B) Adding a penalty term to the cost function to avoid overfitting (C) Increasing the size of the dataset (D) Dividing the data into training and testing sets 8. Which of the following algorithms applies Lasso (L1) regularization in regression? (A) Lasso regression (B) Linear regression (C) Ridge regression (D) Decision tree regression 9. What is the purpose of cross-validation in regression tasks? (A) To reduce the size of the dataset (B) To find the optimal values for the independent variables (C) To improve the accuracy of the training data (D) To assess the model’s generalization ability and avoid overfitting 10. Which of the following methods is used to evaluate the performance of a regression model? (A) Confusion matrix (B) Precision-Recall curve (C) Mean Absolute Error (MAE) (D) F1-score