Quiz on Regression and Linear Regression

What is the primary goal of regression analysis?

• To predict categorical outcomes

• To find the relationship between dependent and independent variables

• To classify data into different categories

• To visualize data trends

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

• Support Vector Regression

• Linear Regression

• Clustering Regression

• Polynomial Regression

What does the Mean Squared Error (MSE) measure?

• The average of squared differences between predicted and actual values

• The total number of observations

• The average of absolute errors

• The correlation between variables

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

• None

• One

• Two

• Multiple

What is the equation for simple linear regression?

• y = β0 + β1X + β2X + ... + βnXn

• y = β0 + β1X + β2X2

• y = β0 + β1X

• y = β0 + β1X1 + β2X2

Which type of regression involves more than one independent variable?

• Univariate Regression

• Polynomial Regression

• Multiple Linear Regression

• Simple Linear Regression

What is the intercept in the regression equation?

• The average of dependent variables

• The total number of variables

• The value of Y when X is zero

• The slope of the line

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

• Grouping customers into segments

What does R2 Score indicate in regression analysis?

• The proportion of variance explained by the model

• The total error in predictions

• The number of independent variables used

• The accuracy of predictions

Which regression method is suitable for complex, nonlinear relationships?

• Polynomial Regression

• Linear Regression

• Simple Linear Regression

• Univariate Regression