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Least Squares Regression with Education Inequality

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Provided by: Skew the Script |Published on: May 28, 2025
Lesson Plans
1112AP
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This resource has been reviewed by SubjectToClimate's climate scientists and verified for scientific accuracy and up-to-date information. Learn about our review process →

Synopsis

  • This statistics lesson from Skew the Script uses linear regressions, best-fit lines, y-intercepts, and slopes to evaluate and predict the relationship between two variables.
  • Students will learn how to define the explanatory and response variables, calculate residuals, define the line of best fit, discuss correlation vs. causation, and understand the difference between linear equations and linear regressions.
  • The primary example discusses the relationship between student attendance and test scores, and additional examples evaluate questions about other topics such as the cost of housing, salaries, vacation days, and health data.
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Subjects: Civics, Mathematics
Authors: Skew the Script
Region: United States
Languages: English

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About the Partner Provider

Skew The Script
Skew The Script offers free, genuinely relevant math lessons for high school courses. Is college worth the cost? Are electric cars actually greener? Can you make a living as an influencer? Their nonpartisan lessons challenge students to tackle these questions with statistics, mathematics, and critical thinking.

Scientist Reviewed

This resource has been reviewed by SubjectToClimate's climate scientists and verified for scientific accuracy and up-to-date information. Our review process ensures that every resource in our library reflects the current state of climate science.

Learn about our review process →

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