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 See Related 9-12 Data Analysis & Probability Standard. Using interactive tools like the
one below, students can investigate the properties of regression lines and correlation.
Individual Lessons
Lesson 1 - The Regression Line
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 (See Related 9-12
Data Analysis & Probability Standard). Using interactive tools like the
one below, students can investigate the properties of regression lines and
correlation.
Lesson 2 - The Effects of Outliers
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 (See Related 9-12 Data Analysis & Probability Standard). Using interactive tools like the one below, students can investigate the properties of regression lines and correlation.
Lesson 3 - Correlation and the Regression Line
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 (See Related 9-12 Data Analysis & Probability Standard). Using interactive tools like the
one below, students can investigate the properties of regression lines and correlation.
Lesson 4 - The Centroid and the Regression Line
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 (See Related 9-12 Data Analysis & Probability Standard). Using interactive tools like the one below, students can investigate the properties of regression lines and correlation.