Regression and Linear Regression Quiz

What is the primary goal of regression analysis?

• To classify data into categories

• To reduce the dimensionality of data

• To predict a continuous value based on input features

• To visualize data trends

Which of the following is NOT a type of regression algorithm?

• Support Vector Regression

• Polynomial Regression

• Clustering Regression

• Linear Regression

What does the Mean Squared Error (MSE) metric measure?

• The average of absolute errors

• The average of squared differences between predicted and actual values

• The correlation between variables

• The total number of observations

In simple linear regression, how many independent variables are used?

• None

• One

• Multiple

• Two

What is the equation for simple linear regression?

• y = β0 + β1X

• y = β0 + β1X1 + β2X2

• y = β0 + β1X + β2X^2

• y = β0 + β1X + β2X + β3X

Which type of regression involves more than one independent variable?

• Simple Linear Regression

• Multiple Linear Regression

• Polynomial Regression

• Univariate Regression

What is the intercept in the regression equation?

• The slope of the line

• The total number of independent variables

• The value of the dependent variable when all independent variables are zero

• The average of the dependent variable

Which of the following is an example of regression?

• Identifying outliers in data

• Predicting house prices based on features

• Classifying emails as spam or not spam

• Grouping customers into segments

What does R2 Score indicate in regression analysis?

• The accuracy of the model

• The number of independent variables used

• The proportion of variance explained by the model

• The total error in predictions

Which regression method is best suited for complex, nonlinear relationships?

• Polynomial Regression

• Support Vector Regression

• Linear Regression

• Decision Trees