# Activities

• • • ##### Subject Area

• Math: Statistics: Describing Bivariate Data

• ##### Author 9-12

50 Minutes

• ##### Device
• TI-Nspire™ CX/CX II
• TI-Nspire™ CX CAS/CX II CAS
• TI-Nspire™ Navigator™
• TI-Nspire™
• TI-Nspire™ CAS
• ##### Software

TI-Nspire™
TI-Nspire™ CAS

3.0

## Transforming Bivariate Data

#### Activity Overview

This lesson involves square root, semi-log, and log-log transformations of curved bivariate data using given data sets.

#### Objectives

• Students will recognize that bivariate data can be transformed to reduce the curvature in the graph of a relationship between two variables.
• Students will use scatterplots, residual plots, and correlation coefficients of different transformations of bivariate data to determine which transformation is more effective at eliminating the curvature.
• Students will make predictions about the response variable using a transformed data model.

#### Vocabulary

• bivariate data
• correlation coefficient
• exponential function
• least-squares regression line
• log transformation
• log-log transformation
• power function
• residual plot
• scatterplot
• square root transformation
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