Nonlinear Data Analysis for Teachers - Professional Development

Explore nonlinear real-world data analysis in this professional development webinar for educators. Delve into using residuals to assess models and determine when nonlinear models are appropriate. Learn techniques for linearizing data using inverse functions. Discover how to implement Common Core State Standards (CCSS) Mathematical Practices through real-world tasks and gain access to valuable web resources. The session, led by NCSSM instructor Maria Hernandez, covers topics such as creating scatter plots, calculating residuals, working with nonlinear models, and making predictions. Gain insights into content and practice standards while exploring tools like Excel and Core Math Tools. Access additional resources, including handouts and presentation slides, to enhance your understanding of nonlinear data analysis and its application in mathematics education.

Intro
Goals
Student Hat
Example
Questions
Using Excel
Creating the Scatter Plot
Residuals
Scatter Plot
Tools
Finding residuals
Mathematics
NonLinear Model
Predictions
Content Standards
Practice Standards
Core Math Tools