Texas Instruments
Texas Instruments: Using Regression Functions
In this activity, students experiment with regression features of the calculator to find a best fit for a data set.
CK-12 Foundation
Ck 12: Algebra: Applications of Function Models
[Free Registration/Login may be required to access all resource tools.] In this lesson students draw a scatter plot of data, find and draw the function that best fits that data, and make predictions from that information. Students watch...
Rice University
Hyper Stat Online Statistics Textbook: Chapter 3: Describing Bivariate Data
This chapter of an online textbook begins with a description of scatterplots, then focuses on the Pearson Product Moment Correlation.
Texas Instruments
Texas Instruments: Bivariate Data
This set contains statistics questions regarding bivariate data: scatter plots, the least-squares regression line, and their interpretation. The student is asked about the meaning of the various strengths and directions of linear...
Texas Instruments
Texas Instruments: Fitting an Equation to Bivariate Data
In this activity, students fit a linear least-square regression line to population data. They explore various functions to model the given data.
Texas Instruments
Texas Instruments: Exploring Bivariate Data
Students graph scatter plots and understand the concepts of correlation and least-squares regression. They also perform transformations to achieve linearity in the data plot.
Illustrative Mathematics
Illustrative Mathematics: S Id Coffee and Crime
This task addresses many standards regarding the description and analysis of bivariate quantitative data, including regression and correlation. Given a scatter plot, students will answer a variety of questions about linear relationships,...
CK-12 Foundation
Ck 12: Scatter Plots and Linear Correlation
[Free Registration/Login may be required to access all resource tools.] This lesson covers plotting a scatterplot and finding a linear equation that best fits the data.
CK-12 Foundation
Ck 12: Statistics: Least Squares Regression
[Free Registration/Login may be required to access all resource tools.] This Concept introduces students to least-squares regression.
CK-12 Foundation
Ck 12: Statistics: Scatter Plots on the Graphing Calculator
[Free Registration/Login may be required to access all resource tools.] This lesson covers finding the equation of best fit using a graphing calculator.
Thinkport Education
Thinkport: Algebra Ii: Regression
Build on your understanding of modeling with linear, quadratic and exponential functions to begin to include other function families.
Thinkport Education
Thinkport: Algebra Ii: Linear, Quadratic and Exponential Regression
Review linear regression and analyze how well this model fits the data. You will also be introduced to residuals and the correlation coefficient, and use these tools to determine whether or not a linear model is the best fit for a set of...
National Council of Teachers of Mathematics
Nctm: Illuminations: Line of Best Fit
Use this activity to practice how to enter a set of data, plot the data on a coordinate grid, and determine the equation for a line of best fit.
Shodor Education Foundation
Shodor Interactivate: Multiple Linear Regression
Students compare multiple independent variables as predictors of one dependent variable. Students explore correlation and lines of best-fit.
Shodor Education Foundation
Shodor Interactivate: Regression
Plot a bivariate data set, determine the line of best fit for their data, and then check the accuracy of your line of best fit.
Shodor Education Foundation
Shodor Interactivate: Data Flyer
Enter a set of data points, then derive a function to fit those points. Manipulate the function on a coordinate plane using slider bars. Learn how each constant and coefficient affects the resulting graph.
Shodor Education Foundation
Shodor Interactivate: Linear Regression and Correlation
Students are introduced to correlation between two variables and the line of best fit.
Shodor Education Foundation
Shodor Interactivate: Simple Plot
A java applet that helps a student to create a scatter plot using the coordinates and axes and given data.
Other
Introduction to Simple Linear Regression
This introduction to simple linear regression includes graphs and a discussion of extrapolation and interpolation.
Math Graphs
Houghton Mifflin: Math Graphs: Fitting Models to Scatter Plots 1 [Pdf]
Learners use a scatter plot to determine whether data can be modeled by a linear function, a quadratic function, a trigonometric function, or that there appears to be no relationship between x and y. The resource consists of an enlarged...
Math Graphs
Houghton Mifflin: Math Graphs: Fitting Models to Scatter Plots 2 [Pdf]
Students use a scatter plot to determine whether data can be modeled by a linear function, a quadratic function, a trigonometric function, or that there appears to be no relationship between x and y. The resource consists of an enlarged...
Math Graphs
Houghton Mifflin: Math Graphs: Fitting Models to Scatter Plots 3 [Pdf]
Students use a scatter plot to determine whether data can be modeled by a linear function, a quadratic function, a trigonometric function, or that there appears to be no relationship between x and y. The resource consists of an enlarged...
Math Graphs
Houghton Mifflin: Math Graphs: Fitting Models to Scatter Plots 4 [Pdf]
Students use a scatter plot to determine whether data can be modeled by a linear function, a quadratic function, a trigonometric function, or that there appears to be no relationship between x and y. The resource consists of an enlarged...
Math Graphs
Houghton Mifflin: Math Graphs: Line of Best Fit 1 [Pdf]
The practice problem examines the line of best fit and scatter plots. The scatter plot is available in PDF format.