[Free Registration/Login may be required to access all resource tools.] This Concept introdices scatterplots and linear correlation for bivariate data.

Use examples to determine and explain the linear correlation of independent and dependent variables.

Practice identifying the types of correlations shown in scatter plots. Sometimes we see linear correlations (positive or negative), sometimes we see non-linear correlations (the data seems to follow a curve), and other times we don't see...

[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.

[Free Registration/Login may be required to access all resource tools.] In this tutorial, students learn how to interpret data through the use of a scatter plot.

Young scholars will identify different types of correlations graphically and by using the linear regression analysis obtained from a TI-84 Plus calculator. Students will also obtain and know the significance of a correlation coefficient...

Young scholars are introduced to correlation between two variables and the line of best fit.

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...

An interactive program where students will explore regression lines. Students will be introduced to the correlation coefficient and come to understand what it represents through the given exploration. Requires Java.

Students compare multiple independent variables as predictors of one dependent variable. Students explore correlation and lines of best-fit.

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...

An explanation of scatter plots followed by examples of the many different kinds of scatter plots.

The correlation coefficient r measures the direction and strength of a linear relationship. Calculating r is pretty complex, so we usually rely on technology for the computations. We focus on understanding what r says about a scatterplot.

[Free Registration/Login may be required to access all resource tools.] This Concept introduces students to testing a claim about linear regression.

[Free Registration/Login may be required to access all resource tools.] Use a calculator to create a scatter plot and to determine the equation of the line of best fit.

This page provides a good discussion of correlation coefficients (r,) which indicate the "strength of the linear association between variables." Includes formulas and scatter plots. Some prior knowledge of statistics might be helpful.

Overview of correlation coefficient, or a number between 1 and -1 which measures the degree to which two variables are linearly related. It is followed by a description of the Pearson product moment correlation coefficient.

The online assessment displays knowledge of concepts used in Algebra I. The multiple choice questions test learners on analyzing linear equations. Topics include calculating the equation of a line and interpreting correlation.

Explains, with examples, what scatter plots are and how to interpret the data. Discusses trends, interpolation and extrapolation, and correlation. Includes a set of practice questions.

This activity is designed to help students work with linear regression models, error, correlation coefficients and coefficients of determination. In this activity students not only deal with the mathematical concepts of regression but...

Students can use lists of data and the correlation factor of various regressions to determine the best regression line.

A CSI activity that deals with "TRENDS IN DATA". You'll conduct an investigation whereby you'll measure parts of your body and contribute to the investigation data to solve a murder. You'll look at different relationships to find proper...

In Spanish. This interactive unit shows you the statistical relationship between two variables.

Create your own scatter plot or use real-world data and try to fit a line to it. Explore how individual data points affect the correlation coefficient and best-fit line.