This lesson involves a least-squares regression line fit to a set of nine values.
Interpreting R -squared
This lesson involves predicting values of a particular variable.
This lesson involves investigating the connection between the scatterplot of bivariate data and the numerical value of the correlation coefficient.
Monopoly and Regression
This lesson involves analyzing the association between the number of spaces from Go and the cost of the property on a standard Monopoly board.
Scatterplot Pulse Rates
This lesson involves creating a scatterplot and fitting a line to student pulse rates collected before and after exercise.
Square it Up!
Students investigate the method of least squares by adding the squares to a scatter plot and moving a line to find the minimum sum. Then they compare their line to the built-in linear regression model.
Tootsie Pops & Hand Span
Students will collect data, find the linear regression model of the data, and address aspects of the data that affect regression.
Transforming Bivariate Data
This lesson involves square root, semi-log, and log-log transformations of curved bivariate data using given data sets.