Interpreting Categorical and Quantitative Data
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Compute (using technology) and interpret the correlation coefficient “𝑟” of a linear fit. (For instance, by looking at a scatterplot, students should be able to tell if the correlation coefficient is positive or negative and give a reasonable estimate of the “𝑟” value.) After calculating the line of best fit using technology, students should be able to describe how strong the goodness of fit of the regression is, using “𝑟”.
Distinguish between correlation and causation.
Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
Similar standards elsewhere
Interpret linear models