Day 5: Introduction to Linear Regression

Submissions will no longer be placed on the leaderboard. You may still attempt this problem for practice.

Objective
In this challenge, we practice using linear regression techniques. Check out the Resources tab to learn more!

Task
You are given the Math aptitude test () scores for a set of students, as well as their respective scores for a Statistics course (). The students enrolled in Statistics immediately after taking the math aptitude test.

The scores (, ) for each student are:

If a student scored an on the Math aptitude test, what score would we expect her to achieve in Statistics? Determine the equation of the best-fit line using the least squares method, and then compute the value of when .

Output Format

You can submit solutions in either of the following ways:

  1. Solve the problem manually and submit your result as Plain Text. In the text box below, enter a single floating point/decimal number denoting the score.
  2. Submit an R or Python program, which uses the above parameters (hard-coded), then computes and prints the score.

Your answer should follow the format below, and must not contain any extra white space or newline characters:

60.5
Line: 1 Col: 1
  1. Challenge Walkthrough
    Let's walk through this sample challenge and explore the features of the code editor.1 of 6
  2. Review the problem statement
    Each challenge has a problem statement that includes sample inputs and outputs. Some challenges include additional information to help you out.2 of 6
  3. Choose a language
    Select the language you wish to use to solve this challenge.3 of 6
  4. Enter your code
    Code your solution in our custom editor or code in your own environment and upload your solution as a file.4 of 6
  5. Test your code
    You can compile your code and test it for errors and accuracy before submitting.5 of 6
  6. Submit to see results
    When you're ready, submit your solution! Remember, you can go back and refine your code anytime.6 of 6
  1. Check your score