Standard(s): - S.ID.C.7: Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
- S.ID.C.8: Compute (using technology) and interpret the correlation coefficient of a linear fit.
- S.ID.B.6.C: Fit a linear function for a scatter plot that suggests a linear association.
- S.ID.B.6.6.A: Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.
Essential Question: - In what ways can functions be built?
- When does a function best model a situation?
- How can I communicate the properties of a data set to illuminate its important features?
- How can the relationship between quantities best be represented?
Learning Target: - I can interpret the meaning of the slope in terms of the data. (Comprehend)
- I can interpret the the meaning of the intercept in terms of the data. (Comprehend)
- I can compute, using technology, the correlation coefficient r. (Application)
- I can interpret the correlation coefficient r. (Comprehend)
- I can sketch a line of fit on a scatterplot that appears linear. (Comprehend)
- I can write the equation of a line of best fit using technology. (Synthesize)
- I can write the equation of a line of fit by using two points on the line of fit. (Synthesize)
Warm-Up:Notes: Click on the image below for the PDF of the notes 4.6 Regression and Median-Fit Lines Video:Click below for the Classroom Lesson - 4.6 Regression and Median-Fit Lines Watch this video on Regression and Median-Fit Lines Activities:Click on the image below for Regression and Median-Fit Lines Click on the image below for Regression and Median-Fit Lines Assessment/Homework:pg. 256 5-11 odd |

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