| (J) describe the potential impact of Type I and Type
II Errors.
(7) Bivariate data. The student applies the mathematical
process standards to analyze relationships among bivariate quantitative
data. The student is expected to:
(A) analyze scatterplots for patterns, linearity, outliers,
and influential points;
(B) transform a linear parent function to determine
a line of best fit;
(C) compare different linear models for the same set
of data to determine best fit, including discussions about error;
(D) compare different methods for determining best
fit, including median-median and absolute value;
(E) describe the relationship between influential points
and lines of best fit using dynamic graphing technology; and
(F) identify and interpret the reasonableness of attributes
of lines of best fit within the context, including slope and y -intercept.
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