Fitting Exponential and Logarithmic Models to Data
Students will use regression techniques to find exponential and logarithmic models that best fit given data sets.
Key Questions
- Justify when an exponential model is more appropriate than a linear or polynomial model for a given data set.
- Analyze the meaning of the parameters in an exponential or logarithmic regression equation.
- Predict future trends based on fitted exponential or logarithmic models.
Common Core State Standards
Suggested Methodologies
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5E Model
The 5E Model structures lessons through five phases (Engage, Explore, Explain, Elaborate, and Evaluate), guiding students from curiosity to deep understanding through inquiry-based learning.
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