# SOCR Events July2008 C5 S1

From SOCR

## Contents

- 1 SOCR CensusAtSchool International Workshop - Summarizing, displaying, and analyzing
*bivariate*data- 1.1 Collect, record, organize, and display a set of data with at least two variables
- 1.2 Determine whether the relationship between two variables is approximately linear or nonlinear by examination of a scatter plot
- 1.3 Characterize the relationship between two linear related variables as having positive, negative, or approximately zero correlation
- 1.4 Estimate, interpret, and use lines fit to bivariate data
- 1.5 Estimate the equation of a line of best fit to make and test conjectures
- 1.6 Interpret the slope and y-intercept of a line through data
- 1.7 Predict y-values for given x-values when appropriate using a line fitted to bivariate numerical data

- 2 References

## SOCR CensusAtSchool International Workshop - Summarizing, displaying, and analyzing *bivariate* data

### Collect, record, organize, and display a set of data with at least two variables

Use the Hot dog Sodium Calorie Dataset and explore various bivariate activities.

### Determine whether the relationship between two variables is approximately linear or nonlinear by examination of a scatter plot

Try scatter plotting the Weight or the Height (Y-axis) agains the index of the observation for the first 100 subjects in the Human Weight/Height Dataset. Of course, there should be no correlation between the index of the subject and his/her height or weight, as subjects are randomly chosen! On the contrary plotting Weight vs. height will demonstrate a clear positive correlation (i.e., higher weight implier taller individual).

### Estimate, interpret, and use lines fit to bivariate data

### Estimate the equation of a line of best fit to make and test conjectures

### Interpret the slope and y-intercept of a line through data

### Predict y-values for given x-values when appropriate using a line fitted to bivariate numerical data

## References

- Interactive Statistics Education EBook
- SOCR Home page: http://www.socr.umich.edu

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