Understanding the Least-Squares Regression Line with a Visual Model
Understanding the Least-Squares Regression Line with a Visual Model
Grade Levels
10th Grade, 11th Grade, 12th Grade, 9th Grade
Course, Subject
Related Academic Standards
Description
This example allows students to explore three methods for measuring how well a linear model fits a set of data points. The Data Analysis and Probability Standard calls for students to explore how residuals (the difference between a predicted and observed value) may be used to measure the "goodness of fit" of a linear model. In this example, two of the methods use residuals and the third uses the shortest distance between a data point and the line given by the model.
Web-based Resource
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Understanding the Least-Squares Regression Line with a Visual Model
Content Provider
thinkfinity, SASTF, Regression Line , Least-squares Regression Line , Linear Regression , Residual , Goodness of Fit , Linear Model , Data analysis , Measure of Fit , Linear Equation