MMA.MATH.9.F
Use regression methods available through technology to model linear and exponential functions, interpret correlations, and make predictions.
Mathematical Models with Applications · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
regression methodstechnologylinear functionsexponential functionscorrelationspredictions
Skills
- use regression methods available through technology (model functions) #dok2
- interpret correlations (between data sets) #dok2
- model (linear and exponential functions using technology) #dok2
- make predictions (using modeled functions) #dok3
Learning Targets
- I can use regression methods on technology to create mathematical models of data. #dok2
- I can model relationships in data using linear and exponential functions. #dok2
- I can interpret the meaning of a correlation coefficient in the context of a data set. #dok2
- I can make predictions from a linear or exponential model obtained from data. #dok3
Big Ideas
- Regression analysis allows us to create mathematical models that describe relationships and patterns in data.
- Technology streamlines the process of modeling, interpreting relationships, and making predictions based on real-world data.
Essential Questions
- How can technology help us model real-world relationships in data?
- What can the correlation between two variables tell us about their relationship?
- How do we choose between a linear or exponential function when modeling data?
- What are the limitations of using models to make predictions?
- In what situations would making predictions from data models be useful or necessary?