Practice Step-by-Step Procedure - 1.4 | 9. Linear Regression | ICSE 12 Mathematics
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

Step-by-Step Procedure

1.4 - Step-by-Step Procedure

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Calculate the mean of the following x values: 10, 20, 30, 40.

💡 Hint: Add the values together and divide by the number of values.

Question 2 Easy

What does a correlation coefficient of r = 0 imply?

💡 Hint: Think about what a value of zero means in terms of direction.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the first step in linear regression analysis?

Calculate correlation coefficient
Calculate means
Calculate regression coefficients

💡 Hint: Think about what foundational information we need before analyzing relationships.

Question 2

True or False: A correlation coefficient of -1 indicates a perfect positive relationship.

True
False

💡 Hint: Consider the meanings of positive and negative correlations.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the data set x: [2, 4, 6, 8, 10] and y: [1, 3, 4, 5, 6], perform a full linear regression analysis including means, standard deviations, r, b coefficients, and the regression equation.

💡 Hint: Take it step by step and keep track of your calculations.

Challenge 2 Hard

Consider two variables with a correlation of -0.25. What does this suggest about the relationship? Explain as if explaining to a class.

💡 Hint: Think about what negative correlations imply when visualizing data relationships.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.