Course: H.S. Quantitative Reasoning

 

QR.M.3

Choose and create, with and without technology, linear, exponential, logistic, or periodic models and curves of best fit for bivariate data sets. Use the models to answer questions and draw conclusions or make decisions, addressing limitations and long-term ramifications of chosen models when appropriate. Recognize when a change in model is needed.

I Can Statements Academic Vocabulary

*I can select an appropriate model (linear, exponential, logistic, or periodic) to best fit bivariate data.

*I can create, with and without technology) an appropriate model (linear, exponential, logistic, or periodic) to best fit bivariate data.

*I can use my model to draw conclusions and make decisions about bivariate data.

*I can address both limitations and long-term ramifications of my chosen model.

*I can recognize then a change in model is needed for bivariate data.

Linear model
Exponential model
Logistic model
Periodic model
Bivariate data

Looking Back Looking Ahead

*Use technology to find a linear, quadratic, or exponential function that models a relationship for a bivariate data set to make predictions; compute (using technology) and interpret the correlation coefficient. (MA.AII.DSP.2)

*This course is a 4th year course in the Indiana sequence. The concepts and skills within the course extend to multiple post-secondary pathways and applications.

Clarifying Examples and Digital Resources
Click here for clarifying examples and digital resources aligned to Indiana standards. These are intended to expand each standard to support instruction in the classroom as evidenced by the Eight Mathematics Teaching Practices put forth by the National Council of Teachers of Mathematics (NCTM).