Practice Simple And Multiple Linear Regression (3.1) - Supervised Learning - Regression & Regularization (Weeks 3)
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Simple and Multiple Linear Regression

Practice - Simple and Multiple Linear Regression

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define what a dependent variable is.

💡 Hint: It's what you're trying to predict.

Question 2 Easy

What is the role of an independent variable in regression?

💡 Hint: Think of it as an ingredient in a recipe.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the slope (β1) represent in a simple linear regression?

The Y-intercept
The change in Y for a change in X
The error in the prediction

💡 Hint: Think about how the independent variable impacts the dependent variable.

Question 2

True or False: In linear regression, it is acceptable to have multicollinearity among independent variables.

True
False

💡 Hint: Consider how related predictors might complicate interpretation.

Get performance evaluation

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a multiple linear regression model using hours studied, previous test scores, and attendance rates as predictors for predicting final exam scores. Analyze the output coefficients.

💡 Hint: Look for which predictor has the highest coefficient.

Challenge 2 Hard

Explain how a violation of the homoscedasticity assumption can affect your model's predictions.

💡 Hint: Consider how varied error might mislead predictions.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.