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Model and interpret bivariate measurement data (8.SP.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 association, linear association, and nonlinear association and know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.

Lessons

  • Construct a scatter plot

    In this lesson you will learn how to construct a scatter plot by graphing data.

  • Interpret a scatter plot by identifying clusters and outliers

    In this lesson you will learn how to interpret a scatter plot by identifying clusters and outliers.

  • Interpret and distinguish linear and non linear scatter plots

    In this lesson you will learn how to interpret scatter plots by determining if they are linear or non-linear.

  • Draw a line of best fit

    In this lesson you will learn how to interpret scatter plots by identifying the line of best fit.