[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.

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...

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.

In these questions, students will find the linear equation of best fit for a set of data and interpret the correlation coefficient. Questions are multiple-choice and true/false; solutions are provided.