# SOCR Events May2008 C5 S1

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 Revision as of 21:17, 8 February 2008 (view source)IvoDinov (Talk | contribs)← Older edit Revision as of 21:23, 8 February 2008 (view source)IvoDinov (Talk | contribs) (→Estimate, interpret, and use lines fit to bivariate data)Newer edit → Line 11: Line 11:
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- ===Estimate, interpret, and use lines fit to bivariate data=== + ===[[SOCR_EduMaterials_Activities_BivariteUniformExperiment | Estimate, interpret, and use lines fit to bivariate data]]=== ===Estimate the equation of a line of best fit to make and test conjectures=== ===Estimate the equation of a line of best fit to make and test conjectures===

## SOCR May 2008 Event - Summarize, display, and analyze 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.

### Characterize the relationship between two linear related variables as having positive, negative, or approximately zero correlation

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).