Standards Addressed through Regression Applet
CCGPS Standards
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.
NCTM Practice Standards
- MCC8.SP.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe the patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
- MCC8.SP.2 Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
- MCC9-12.S.ID.6 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
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.
- MCC9-12.S.ID.7 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
- MCC9-12.S.ID.8 Compute (using technology) and interpret the correlation coefficient of a linear fit.
NCTM Practice Standards
- Reason abstractly and quantitatively.
- Model with mathematics.
- Use appropriate tools strategically.
- Attend to precision.
- Look for and make use of structure.
References
Georgia Department of Education (2013). Common core state standards for mathematics. retrieved from:
https://www.georgiastandards.org/Common-Core/Pages/Math.aspx
Georgia Department of Education (2013). Common core state standards for mathematics. retrieved from:
https://www.georgiastandards.org/Common-Core/Pages/Math.aspx