## The Regression Line and Correlation

Interactive computer-based tools provide students with the opportunity to easily investigate the relationship between a set of data points and a curve used to fit the data points. As students work with bivariate data in grades 9-12, they will be able to investigate relationships between the variables using linear, exponential, power, logarithmic, and other functions for curve fitting.

### The Regression Line

9-12

Interactive computer-based tools provide students
with the opportunity to easily investigate the relationship between a set of
data points and a curve used to fit the data points. As students work with
bivariate data in grades 9-12, they will be able to investigate relationships
between the variables using linear, exponential, power, logarithmic, and other
functions for curve fitting. Using interactive tools like the
one below, students can investigate the properties of regression lines and
correlation.
### The Effects of Outliers

9-12

Interactive computer-based tools provide students with the opportunity
to easily investigate the relationship between a set of data points and a
curve used to fit the data points. As students work with bivariate data
in grades 9-12, they will be able to investigate relationships between
the variables using. Using interactive tools like the one below,
students can investigate the properties of regression lines and
correlation.### Correlation and the Regression Line

9-12

Interactive computer-based tools provide students with the opportunity to easily investigate the relationship between a set of data points and a curve used to fit the data points. As students work with bivariate data in grades 9-12, they will be able to investigate relationships between the variables using linear, exponential, power, logarithmic, and other functions for curve fitting. Using interactive tools like the one below, students can investigate the properties of regression lines and correlation.### The Centroid and the Regression Line

9-12

Interactive computer-based tools provide students with the opportunity
to easily investigate the relationship between a set of data points and a
curve used to fit the data points. As students work with bivariate data
in grades 9-12, they will be able to investigate relationships between
the variables using linear, exponential, power, logarithmic, and other
functions for curve fitting. Using interactive tools like the one below,
students can investigate the properties of regression lines and
correlation.