Practice Visualize the Data - 7.5 | Chapter 7: Supervised Learning – Logistic Regression | Machine Learning Basics
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a scatter plot?

💡 Hint: Think about how we display relationships visually.

Question 2

Easy

Why is data visualization important?

💡 Hint: Consider what you observe when looking at graphs.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does a scatter plot depict?

  • Relationship between two variables
  • A single variable over time
  • Random data points

💡 Hint: Think about the axes on the plot!

Question 2

True or False: Correlation implies causation.

  • True
  • False

💡 Hint: Consider examples in real life where correlation doesn't imply causation.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset of student performance (including variables like 'study hours', 'age', 'attendance'), create a scatter plot for two selected variables and analyze the correlation.

💡 Hint: Look carefully at which two variables might affect each other most.

Question 2

Design an experiment to collect data on student study habits and exam results. How would you visualize your findings to best represent your data?

💡 Hint: Think about how you can visualize both study habits and outcomes effectively.

Challenge and get performance evaluation