Linear Regression Quiz

Which of the following is an application of Linear Regression?

• Predicting house prices based on square footage

• Clustering customers based on purchase history

• Identifying spam emails

• Image classification

What does Mean Squared Error (MSE) measure in Linear Regression?

• The total sum of errors

• The average squared difference between actual and predicted values

• The number of data points used in the model

• The correlation between X and Y

Which assumption of Linear Regression ensures that independent variables are not highly correlated?

• Linearity

• Independence

• Homoscedasticity

• No Multicollinearity

If the assumption of Homoscedasticity is violated, what solution can be used?

• Apply polynomial regression

• Use time-series models

• Apply transformation (log, square root)

• Remove redundant variables

What does the slope (m) represent in salary prediction?

• The starting salary

• The rate of change of salary with experience

• The highest salary in the dataset

• The total years of experience

What does the intercept (b) indicate in the salary prediction model?

• The salary when experience is zero

• The average salary of all employees

• The highest salary in the dataset

• The years of experience required for a raise

Which of the following is the equation used in the linear regression model for salary prediction?

• y=mx+b

• y=x+m

• y=bx+m

• y=m+x+b

If a company wants to predict salary based on years of experience, which variable is independent?

• Salary

• Experience

• Both Salary and Experience

• Neither Salary nor Experience

What is the primary purpose of Linear Regression in engineering applications?

• Data encryption

• Relationship modeling between variables

• Database management

• Image processing

How is the Mean Squared Error (MSE) minimized in Linear Regression?

• Using Principal Component Analysis

• By increasing variance

• Through Ordinary Least Squares (OLS) or Gradient Descent

• By reducing the number of independent variables