Standards Map

Mathematics > Course Model Algebra I (Traditional Pathway) > Interpreting Categorical and Quantitative Data
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Mathematics | Course : Model Algebra I (Traditional Pathway)

Domain - Interpreting Categorical and Quantitative Data

Cluster - Interpret linear models.

[AI.S-ID.C.8] - Compute (using technology) and interpret the correlation coefficient of a linear fit.*

Resources:

    Predecessor Standards:

    • 8.SP.A.2
      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.
    • 8.SP.A.4
      Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?

    Successor Standards:

    No Successor Standards found.

    Same Level Standards:

    • AI.S-ID.B.6.c
      Fit a linear function for a scatter plot that suggests a linear association.*