# SOCR Events May2008 C5 S1

### From Socr

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===[[SOCR_EduMaterials_Activities_BivariateNormalExperiment | Estimate the equation of a line of best fit to make and test conjectures]]=== | ===[[SOCR_EduMaterials_Activities_BivariateNormalExperiment | 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 === | + | ===[[SOCR_EduMaterials_Activities_BivariateNormalExperiment | 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=== | + | ===[[SOCR_EduMaterials_Activities_BivariateNormalExperiment | Predict y-values for given x-values when appropriate using a line fitted to bivariate numerical data]]=== |

==References== | ==References== |

## Current revision as of 21:28, 8 February 2008

## 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.

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

### 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).

### 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

- Utah Secondary Core Curriculum Standards for Statistics
- Interactive Statistics Education EBook
- SOCR Home page: http://www.socr.ucla.edu

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