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Climate Change Data Analysis for Middle School Math
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Climate Change Data Analysis for Middle School Math

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Subject MathScience
Grade Level Grades 6-8
Resource Type Lesson Plan
Standards Alignment
State-specific

About This Lesson

Access Lesson Plan Here: Is Your City Getting Warmer?: Data Analysis in Google Sheets

This lesson gives students the opportunity to experience a simplified version of how mathematicians and scientists use data analysis and statistics to determine how much our planet is warming due to climate change. Students will create a data table and scatter plot and use linear regression to make predictions about the future. 

Step 1 - Inquire: Students look at a global temperature anomaly graph and discuss how this graph shows a trend of warming temperatures.

Step 2 - Investigate: Students analyze real-world temperature data from an individual city by creating a data table, scatter plot, and linear regression.

Step 3 - Inspire: Students connect what they discovered about their city to the overall trend of rising temperatures.

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Standards

Ask questions to clarify evidence of the factors that have caused the rise in global temperatures over the past century.
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.

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