Mathematics MA2019 (2019) Grade: 9-12 Mathematical Modeling | 15. Use regression with statistical graphing technology to determine an equation that best fits a set of bivariate data, including nonlinear patterns.
Examples: global temperatures, stock market values, hours of daylight, animal population, carbon dating measurements, online streaming viewership
a. Create a scatter plot with a sufficient number of data points to predict a pattern.
b. Describe the overall relationship between two quantitative variables (increase, decrease, linearity, concavity, extrema, inflection) or pattern of change.
c. Make a prediction based upon patterns. Unpacked Content
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Mathematics MA2019 (2019) Grade: 9-12 Precalculus | 26. Graph functions expressed symbolically and show key features of the graph, by hand and using technology. Use the equation of functions to identify key features in order to generate a graph.
a. Graph rational functions, identifying zeros and asymptotes when suitable factorizations are available, and showing end behavior.
b. Graph trigonometric functions and their inverses, showing period, midline, amplitude, and phase shift. Unpacked Content
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Mathematics MA2019 (2019) Grade: 9-12 Precalculus | 27. Compose functions. Extend to polynomial, trigonometric, radical, and rational functions.
Example: If T(y) is the temperature in the atmosphere as a function of height, and h(t) is the height of a weather balloon as a function of time, then T(h(t)) is the temperature at the location of the weather balloon as a function of time. Unpacked Content
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