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 STANDARD S.ID.B.6 AI/AII Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.  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 and exponential models. b. Informally assess the fit of a function by plotting and analyzing residuals. c. Fit a linear function for a scatter plot that suggests a linear association. WORKSHEETS AI Regents-Scatter Plots 1 IA create 3 Regents-Scatter Plots 2 IA describe 11 Regents-Scatter Plots 3a IA line of best fit, MC 8 Regents-Scatter Plots 3b IA line of best fit, bimodal Regents-Regression 1 AI/B linear 4/13 Regents-Residuals AI 5 Regents-Regression 2 AI/A2/B linear with correlation coefficient 2/1/1 Regents-Regression 3 AI exponential 1 Regents-Regression 4 A2/A/B exponential 8/1/7 Regents-Regression 5 AI choose model 1 AII Regents-Regression 6 AII/A2 exponential 2/1 Regents-Regression 7 AII/A2 choose model 1/1 AI Practice-Scatter Plots 1 create 8 Practice-Scatter Plots 2 describe 8 Practice-Scatter Plots 3 line of best fit 4 Practice-Regression 1 linear 7 Practice-Regression 2 linear, quadratic, exponential 5 AII Practice-Regression 3 cubic 5 RELATED TOPICS Regents-Regression 8 A2/B power 1/4 Regents-Regression 9 B logarithmic 1 LESSON PLANS Linear, Quadratic and Exponential Regression PDF DOC Use Residuals to Assess Fit of a Function PDF DOC VIDEOS Making a scatter plot VID Writing an equation for a trend line VID Writing an equation for a line of best fit Using scatter plots and trend lines to make predictions VID Using quadratic models VID Fitting a quadratic function to three points Modeling data using a linear, quadratic, or exponential model VID Modeling data using a linear, quadratic, or cubic model VID Modeling data with a polynomial function

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