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Fitting Equations to Data

Master fitting equations to data with interactive lessons and practice problems! Designed for students like you!

Understanding Fitting Equations to Data

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Video explanation of this concept

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Beginner

Start here! Easy to understand

Now showing Beginner level explanation.

Beginner Explanation

A straight-line model uses $y = mx + b$. We find $m$ and $b$ by minimizing the sum of squared differences between observed data $(x_i, y_i)$ and $y_i = m x_i + b$ predictions.

Practice Problems

Test your understanding with practice problems

1

Quick Quiz

Single Choice Quiz
Beginner

Which equation best fits the data points (1, 2), (2, 4), (3, 6)?

Please select an answer for all 1 questions before checking your answers. 1 question remaining.
2

Real-World Problem

Question Exercise
Intermediate

Teenager Scenario

You are tracking the growth of a plant. The height in centimeters is recorded as (1, 3), (2, 7), (3, 11). What is the equation of the line that models this growth?
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3

Thinking Challenge

Thinking Exercise
Intermediate

Think About This

Consider a dataset with points (-2, 4), (-1, 1), (0, 0), (1, 1), and (2, 4). What type of equation best fits this data?

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4

Challenge Quiz

Single Choice Quiz
Advanced

For a set of data points that increase exponentially, which equation would you use?

Please select an answer for all 1 questions before checking your answers. 1 question remaining.

Recap

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Review key concepts and takeaways