Compute (using technology) and interpret the correlation coefficient of a linear fit.
Interpreting Categorical and Quantitative Data
Interpret linear models
Compute (using technology) and interpret the correlation coefficient of a linear fit.
Interpreting Categorical and Quantitative Data
Interpret linear models
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Compute (using technology) and interpret the correlation coefficient of a linear fit.
Compute (using technology) and interpret the correlation coefficient of a linear fit.
Compute (using technology) and interpret the correlation coefficient of a linear fit.
Compute (using technology) and interpret the correlation coefficient of a linear fit.
Compute (using technology) and interpret the correlation coefficient of a linear fit.
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”.
Compute (using technology) and interpret the correlation coefficient of a linear fit.
Compute (using technology) and interpret the correlation coefficient of a linear fit.
Compute (using technology) and interpret the correlation coefficient of a linear fit.
Compute (using technology) and interpret the correlation coefficient of a linear fit.