EngageNY
End-of-Module Assessment Task: Grade 8 Module 6
Test your knowledge of linear functions and models. The last installment of a 16-part module is an end-of-module assessment task. Pupils solve multi-part problems on bivariate data based on real-world situations to review concepts from...
American Statistical Association
You and Michael
Investigate the relationship between height and arm span. Young statisticians measure the heights and arm spans of each class member and create a scatter plot using the data. They draw a line of best fit and use its slope to explain the...
American Statistical Association
How Tall and How Many?
Is there a relationship between height and the number of siblings? Classmates collect data on their heights and numbers of brothers and sisters. They apply statistical methods to determine if such a relationship exists.
Curated OER
Lines of Fit
Learners analyze graphs. For this algebra lesson, students find the line of best fit, using scatter plots. They calculate the sale of popcorn as it relates to the price. They then analyze the graphs for positive, negative and no...
Curated OER
Lines of Fit
Students solve equations dealing with best fit lines. In this algebra lesson, students solve problems by analyzing data from a scatterplot, and define it as positive, negative or no correlation. They classify slopes the same way as...
Curated OER
Species on the Edge
Students describe factors negatively affecting population of sea turtles, and identify and discuss action that can be undertaken to reduce or eliminate threats to sea turtles and other endangered species.
Curated OER
Diversity Stereotyping
Students discuss the concept of stereotyping and using "diversity beans" process an activity that allows them to examine the negative aspects of strereotyping through candy.
Curated OER
Is there Treasure in Trash?
More people, more garbage! Young environmentalists graph population growth against the amount of garbage generated per year and find a linear model that best fits the data. This is an older resource that could benefit from more recent...
American Statistical Association
What Fits?
The bounce of a golf ball changes the result in golf, mini golf—and a great math activity. Scholars graph the height of golf ball bounces before finding a line of best fit. They analyze their own data and the results of others to better...
Curated OER
Statistics
In this statistics activity, students view 6 graphs to determine the correlation. Students then answer 4 questions that involve plotting data, determining a relationship, and making predictions.
Curated OER
Comparison of Two Different Gender Sports Teams - Part 3 of 3 Scatter Plots and Lines of Best Fit
Students create a scatter plot for bivariate data and find the trend line to describe the correlation for the sports teams. In this scatter plot lesson, students analyze data, make predictions,and use observations about sports data...
Curated OER
What Can Scatterplots Tell Us?
Eighth graders use data from surveys conducted with parents, peers and themselves to create computer-generated scatterplots. They make inferences from their scatterplots.
Curated OER
Line Best Fit
Students identify the line of best fit. In this statistics lesson, students analyze graphs and plots to identify positive, negative or no correlation. They find the line of best fit for different scatter plots.
Curated OER
Scatterplots
Students evaluate equations and identify graphs. In this statistics lesson plan, students identify plotted points on a coordinate plane as having a positive, negative or no correlation. They complete basic surveys, plot their results and...
Curated OER
Scatterplots and Regressions
For this scatterplots and regressions worksheet, students solve 6 different types of problems related to graphing scatterplots and interpreting regressions. First, they create a scatterplot from the given data coordinates and then,...
Curated OER
Correlating Atmospheric Data Lesson Plan
Students make and test hypotheses about atmospheric data collected aboard the NOAA ship Ronald H. Brown research cruise.
Curated OER
Cleaning the Air
Students investigate how engineers design methods of removing particulate matter from industrial sources to minimize negative effects of air pollution. In small groups they design and construct a filter with the goal of removing pepper...
Curated OER
The Water Cycle/States of Matter
Learners engage in a lesson that is concerned with the water cycle and different states of matter. They conduct research using a variety of resources in preparation for taking a quiz. Then students take the quiz in correlation to having...
Curated OER
Energy Conversion in Electricity – Resistors and Circuits
Learners explore electrical energy. In this electricity lesson plan, students design and build a large circuit in order to determine whether circuit size correlates with the light of a bulb.
Curated OER
Line of Best Fit
Learners explore the concept of linear regression. In this linear regression lesson, students do a Barbie bungee activity where they collect linear data. Learners plot their data using a scatter plot. Students determine a line of best...
Curated OER
From Playing with Electronics to Data Analysis
Young scholars collect and Analyze data. In this statistics lesson, students identify the line of best fit of the graph. They classify lines as having positive, negative and no correlation.
Curated OER
Visual Communication of Quantative Data
Students collect and analyze data based on academic performance. In this statistics lesson plan, students create graphs and analyze the data they created. They use positive, negative and no correlation to analyze the data.
Curated OER
Logarithmic Transformations of Data
Students investigate and study logarithmic equations. In this precalculus lesson, students analyze the data behind the function. They define each graph as positive, negative or no correlation. They find the line of best fit.
Curated OER
Looking Normal
Students identify the shape of a function. In this statistics instructional activity, students plot the data collected. They analyze their data for positive, negative or no correlation. They find the line of best fit.