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Common Core (Statistics & Probability)

Common Core for Mathematics

Examples, solutions, videos, and lessons to help High School students learn how to represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

A. Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.

B. Informally assess the fit of a function by plotting and analyzing residuals.

C. Fit a linear function for a scatter plot that suggests a linear association.

Common Core: HSS-ID.B.6

The following diagram shows some examples of scatter plots and correlations. Scroll down the page for more examples and solutions using scatter plots and correlations.

**Scatterplots, Association, Correlation (Part 1)**

This video covers the basis of examining the relationship between two quantitative variables.**Scatterplots, Correlation (Part 2)**

**Scatter plots, association, and correlation.**
**Scatterplots, Correlation, Regression.**

Common Core (Statistics & Probability)

Common Core for Mathematics

Examples, solutions, videos, and lessons to help High School students learn how to represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

A. Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.

B. Informally assess the fit of a function by plotting and analyzing residuals.

C. Fit a linear function for a scatter plot that suggests a linear association.

Common Core: HSS-ID.B.6

The following diagram shows some examples of scatter plots and correlations. Scroll down the page for more examples and solutions using scatter plots and correlations.

This video covers the basis of examining the relationship between two quantitative variables.

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