STAT.MATH.7.C
Compare different linear models for the same set of data to determine best fit, including discussions about error.
Statistics · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
linear modelsdata setbest fiterror
Skills
- compare (different linear models for the same data set) #dok2
- determine (best fit for a data set using models) #dok2
- evaluate (errors associated with linear models) #dok3
- justify (selection of best fit model based on error analysis) #dok3
Learning Targets
- I can identify different linear models for a given data set. #dok1
- I can compare linear models to determine which best represents the data. #dok2
- I can analyze errors for various linear models. #dok3
- I can justify my choice of the best fit model based on error and model appropriateness. #dok3
Big Ideas
- Determining the best fit linear model involves comparing different models and considering their associated errors.
- Analyzing and selecting linear models helps us accurately represent and interpret real-world relationships in data.
Essential Questions
- How do different linear models represent the same data set?
- What methods can we use to compare and determine the best fit for a set of data?
- Why is it important to consider errors when selecting a model of best fit?
- How can we justify the choice of a particular linear model as the best fit in context?
- What impacts might the choice of model have on the conclusions drawn from data?