Scatter Plot Basketball

Seventh graders graph ordered pairs on a coordinate plane. They create a scatterplot. Additionally, they determine the line of best fit and investigate the slope of the line. Multiple resources are provided. An excellent resource!

Students graph scatter plots and interpret a quadratic function using TI-Nspire calculator. They also apply the vertex form of a quadratic equation and calculate the maximum value of a parabola. Finally, students identify and interpret...

Play ball! High schoolers explore the concept of quadratic equations through modeling how shooting a basketball can be expressed as a quadratic function. They impose a coordinate grid on the path of a shooting basketball and determine...

Students predict the outcome of a basketball game.  In this what are the odds lesson, students convert from standard units of measure to metric.  They organize data and create stem-and-leaf plots, box-and-whisker plots, and scatter...

Does height make a difference with scoring? Using data of NBA players, pupils make a scatter plot of height and free throw percentage. They use technology to find a regression line and to calculate the correlation coefficient before...

For this scatter plot worksheet, students solve and complete 5 different problems. First, they convert all numbers in the table from feet and inches to inches. Then, students create a scatter plot in inches with the weights listed. They...

In this statistics worksheet, 9th graders solve and complete 10 various types of multiple choice problems. First, they determine the mean number of miles per day that were completed. Then, students determine the data set that has a...

This highly scaffolded, summative assessment tasks learners to choose the model that represents the height of a bouncing basketball given the data in graph and table form. Learners then use the model to answer questions about the...

In this scatterplots learning exercise, students construct a scatter plot from a given data set. Students then answer 4 questions regarding the least-squares regression line and making predictions.

Which player does not fall in line? Using scoring data from two NBA teams, pupils look for outliers. They use the best fit line to help them find the culprit and look for the greatest effect on the correlation coefficient by removing a...