1.12

Topic

Transformations of Functions Linear functions model data sets or aspects of contextual scenarios that demonstrate roughly constant rates of change. 1.13.A.2 Quadratic functions model data sets or aspects of contextual scenarios that demonstrate roughly linear rates of change, or data sets that are roughly symmetric with a unique maximum or minimum value. 1.13.A.3 Geometric contexts involving area or two dimensions can often be modeled by quadratic functions. Geometric contexts involving volume or three dimensions can often be modeled by cubic functions. 1.13.A.4 Polynomial functions model data sets or contextual scenarios with multiple real zeros or multiple maxima or minima. 1.13.A.5 A polynomial function of degree n models data sets or contextual scenarios that demonstrate roughly constant nonzero nth differences. 1.13.A.6 A polynomial function of degree n or less can be used to model a graph of n + 1 points with distinct input values.