Understanding Fitting Equations to Data
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Beginner
Start here! Easy to understand
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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
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1
Quick Quiz
Single Choice Quiz
Beginner
Which equation best fits the data points (1, 2), (2, 4), (3, 6)?
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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?
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Recap
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