Linear Regression and the Correlation Coefficient (Math 1)
Secondary Math Materials
35 Followers
Grade Levels
6th - 12th
Subjects
Resource Type
Standards
CCSSHSS-ID.B.6
CCSSHSS-ID.B.6a
CCSSHSS-ID.B.6c
Formats Included
- Zip
Pages
9 slide SMART Presentation; 2 page Note-Taking guide
Secondary Math Materials
35 Followers
Description
This lesson is the fifth of six lessons in the Math 1 Statistics Unit.
This lesson includes important vocabulary, examples (guided practice), and class work (independent practice). At the end of the presentation is a Ticket Out the Door that can be used as a formative assessment.
There is a note-taking guide for the students to fill out as the teacher goes through a SMART Notebook presentation.
Unit 1: Statistics
Lesson 1: Mean Median Mode Range Outliers and Skew
Lesson 2: Box and Whisker Plots
Lesson 3: Standard Deviation
Lesson 4: Correlation vs Causation
Lesson 5: Linear Regression and the Correlation Coefficient
Lesson 6: Residuals
This lesson includes important vocabulary, examples (guided practice), and class work (independent practice). At the end of the presentation is a Ticket Out the Door that can be used as a formative assessment.
There is a note-taking guide for the students to fill out as the teacher goes through a SMART Notebook presentation.
Unit 1: Statistics
Lesson 1: Mean Median Mode Range Outliers and Skew
Lesson 2: Box and Whisker Plots
Lesson 3: Standard Deviation
Lesson 4: Correlation vs Causation
Lesson 5: Linear Regression and the Correlation Coefficient
Lesson 6: Residuals
Total Pages
9 slide SMART Presentation; 2 page Note-Taking guide
Answer Key
Included
Teaching Duration
90 minutes
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Standards
to see state-specific standards (only available in the US).
CCSSHSS-ID.B.6
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
CCSSHSS-ID.B.6a
Fit a function to the data; use functions fitted to data to solve problems in the context of the data.
CCSSHSS-ID.B.6c
Fit a linear function for a scatter plot that suggests a linear association.
Reviews
Questions & Answers
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