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Subject Area - CC.2:
Mathematics
Mathematics
- Standard Area - CC.2.4: Measurement, Data and Probability
- Grade Level - CC.2.4.8: GRADE 8
Standard - CC.2.4.8.B.2
Understand that patterns of association can be seen in bivariate data utilizing frequencies.
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Anchor Descriptor - M08.D-S.1.1 Analyze and interpret bivariate data displayed in multiple representations.
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Eligible Content - M08.D-S.1.1.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative correlation, linear association, and nonlinear association.
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Eligible Content - M08.D-S.1.1.2 For scatter plots that suggest a linear association, identify a line of best fit by judging the closeness of the data points to the line.
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Alternate Eligible Content - M08.D-S.1.1.2a Identify a statement that describes the relationship between variables displayed in a scatterplot.
Alternate Eligible Content is designed for students assessed using the PA Alternate System of Assessment (PASA). Essentialized Example resources assist teachers in designing instruction that reduces content complexity while maintaining alignment to academic standards.
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Eligible Content - M08.D-S.1.1.3 Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. Example: In a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
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