ALG2.MATH.8.B
Use regression methods available through technology to write a linear function, a quadratic function, and an exponential function from a given set of data.
Algebra II · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
regression methodstechnologylinear functionquadratic functionexponential functionset of data
Skills
- use regression methods (technology, data sets) #dok2
- write functions (linear, quadratic, exponential, from data) #dok2
- analyze data (identify best fit models) #dok2
- interpret regression results (context, meaning) #dok3
Learning Targets
- I can use regression methods available through technology to analyze data sets. #dok2
- I can write a linear function from a given set of data using technology. #dok2
- I can write a quadratic function from a given set of data using technology. #dok2
- I can write an exponential function from a given set of data using technology. #dok2
- I can interpret regression results to explain the relationship between variables. #dok3
Big Ideas
- Regression methods help us identify mathematical models that best describe patterns in real-world data.
- Technology-enabled regression allows for accurate, efficient function modeling beyond simple visual analysis.
Essential Questions
- How can regression methods and technology be used to create mathematical models from data?
- What factors influence the choice between linear, quadratic, and exponential functions as models for data?
- Why is it important to use technology for regression rather than just relying on hand calculations or visual estimates?
- How does the type of function chosen affect the interpretation of data and predictions?
- In what real-world situations might you need to use regression methods to model data?