variables are related; determine and use a function that models the relationship. Construct a linear function to bivariate data represented on a scatter plot that minimizes residuals. Construct an exponential function to model bivariate data represented on a scatter plot that minimizes residuals. A1.DS.A.6 Interpret the slope (rate of change) Not applicable. Not applicable. Not and the y-intercept (constant term) of applicable. a linear model in the context of the data. A1.DS.A.7 Determine and interpret the Not Not applicable. Not applicable. correlation coefficient for a linear applicable. association. A1.DS.A.8 Distinguish between correlation and Not Not applicable. Not applicable. causation. applicable. Geometry
variables are related; determine and use a function that models the relationship. Construct a linear function to bivariate data represented on a scatter plot that minimizes residuals. Construct an exponential function to model bivariate data represented on a scatter plot that minimizes residuals. A1.DS.A.6 Interpret the slope (rate of change) and the y-intercept (constant term) of a linear model in the context of the data. Not applicable. Not applicable. Not applicable. A1.DS.A.7 Determine and interpret the correlation coefficient for a linear association. Not applicable. Not applicable. Not applicable. A1.DS.A.8 Distinguish between correlation and causation. Not applicable. Not applicable. Not applicable. Geometry
curr-mapa-math-k-12-crosswalk.docx