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Linear Regression and Correlation Coefficient Guided Notes Lesson Algebra 1

Rated 4.92 out of 5, based on 12 reviews
4.9 (12 ratings)
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mrscasiasmath
2.6k Followers
Grade Levels
8th - 9th
Standards
Formats Included
  • PDF
Pages
3 pages
$1.50
$1.50
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mrscasiasmath
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What educators are saying

Very thorough and well organized set of notes. I updated the notes to include the calculator steps for the Ti-nspire as well.
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Description

This concise, to the point and no-prep linear regression lesson is a great way to teach & introduce how find the correlation coefficient and line of best fit with technology to your students. These notes go over the steps to using linear regression on a TI-84 calculator and include 3 in-depth examples with multiple parts where students find & interpret the correlation coefficient & line of best fit. Students and teachers love how easy these notes are to follow and understand. 

These notes get straight to the point of the skill being taught, which I have found is imperative for the attention span of teenagers! They are also a great tool for students to refer back to. 

This product (PDF) includes

     ● Guided Notes Printable Page

     ● Answer Key

     ● Completed Worked Out Notes that correspond with YouTube video

You can find a video where I work out these notes on my YouTube channel here.

These notes are great for in class or distance learning! They include clear instruction, key words & vocabulary, and a variety of examples. They are easy to turn into videos or interactive with google slides.

This product is included in these money-saving bundles: 

     ☆ Linear Equations & Inequalities Guided Notes Bundle

     ☆ Algebra 1 Guided Notes Mega Bundle

Related & Similar Resources: 

     ★ Slope-Intercept Form Guided Notes Pre-Algebra

     ★ Slope-Intercept Form Mystery Picture

     ★ Slope from Graphs Mystery Picture

     ★ 8th Grade Math Pre-Algebra Guided Notes Mega Bundle

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Total Pages
3 pages
Answer Key
N/A
Teaching Duration
N/A
Last updated Jun 14th, 2022
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Standards

to see state-specific standards (only available in the US).
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
Fit a function to the data; use functions fitted to data to solve problems in the context of the data.
Informally assess the fit of a function by plotting and analyzing residuals.
Fit a linear function for a scatter plot that suggests a linear association.
Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

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