Display Title
Lesson Plan--Linear Functions and Equations (HS)--Lesson 6--Linear Regression
Display Title
Lesson Plan: Linear Regression and Finding the Line of Best Fit
In this comprehensive lesson, high school students delve into the fundamentals of linear regression, a pivotal statistical method for modeling relationships between two quantitative variables. Through interactive activities, students will:
- Create Scatter Plots: Visualize data distributions to identify potential linear relationships.
- Determine the Line of Best Fit: Employ techniques to draw the optimal line that minimizes discrepancies between observed and predicted values.
- Interpret Slope and Y-Intercept: Analyze the components of the regression line to understand their real-world significance.
- Make Predictions: Utilize linear models to forecast outcomes based on existing data trends.
The lesson emphasizes practical applications across various fields, such as economics, biology, and social sciences, illustrating how linear regression aids in informed decision-making. Additionally, it addresses the limitations of linear models, ensuring students grasp when and how these models are most effective.
Aligned with Common Core Standards S.ID.6, S.ID.7, and S.ID.8, this lesson equips students with essential skills in data analysis and interpretation.
Subscribers to Media4Math can download these lessons in PDF format for easy classroom use.
| Common Core Standards | CCSS.MATH.CONTENT.HSS.ID.B.6, CCSS.MATH.CONTENT.HSS.ID.C.7, CCSS.MATH.CONTENT.HSS.ID.C.8 |
|---|---|
| Grade Range | 9 - 12 |
| Curriculum Nodes |
Algebra • Probability and Data Analysis • Data Analysis • Linear Functions and Equations • Applications of Linear Functions |
| Copyright Year | 2025 |
| Keywords | linear regression, regression analysis |
