Class members investigate relationships between two variables in the seventh installment of a 16-part module that teaches scholars how to find and describe patterns in scatter plots. Young mathematicians consider linear/nonlinear...

Scholars learn to create scatter plots and investigate any relationships that exists between the variables with a lesson that also show them that statistical relationships do not necessarily indicate a cause-and-effect...

Discover how trend lines can be useful in understanding relationships between variables with a lesson that covers how to informally fit a trend line to model a relationship given in a scatter plot. Scholars use the trend line to make...

Collect a variety of bivariate data. Groups determine sets of data that would provide a positive, negative, and no correlation. Team members gather their data through out the week. Scholars plot the data and determine the relationship...

What makes a good best-fit line? In the 10th part of a 16-part module, scholars learn how to analyze trend lines to choose the best fit, and to write equations for best-fit lines to make predictions.

Students complete rolling stocks experiment, and collect and enter data on the computer. They enter data on graphing calculators, complete scatter plot by hand with line of best fit, and discuss different graphing methods.

If you're not right-handed, are you wrong-handed? Young statisticians calculate the percentage of left-handed people using a given data set in the assessment task. They plot data on a scatter plot and consider how the line of best fit...

Learners explore scatter plots. In this linear regression activity, groups of pupils graph scatter plots and then find the line of best fit. They identify outliers and explain the correlation. Each group summarizes and shares their...

Math is all fun and games with this activity! Learners use an activity designed around hula hoops to collect data. They create scatter plots with their data and then analyze the graphs for correlation. 

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...

Practice using linear models to answer a question of interest. The 12th installment of a 16-part module combines many of the skills from previous lessons. It has scholars draw scatter plots and trend lines, develop linear models, and...

Students discuss line graphs and scatter plots and the best situations in which to use them. Using the graphs, they determine the type of correlation between variables on a scatterplot. They create a scatterplot and line graph from a...

Students identify the line of best fit. In this statistics lesson, students collect and analyze data. They calculate the regression equations and identify the different types of correlation.

Will the time come when women outperform men at the Olympic Games?Scholars investigate gender differences in Olympic Games performances. They study the historical participation of women and then analyze data to determine if women will...

Pupils collect, graph and analyze data. In this statistics lesson, students use circle, pie, bar and lines to represent data. They analyze the data and make predictions bases on the scatter plots created.

Students complete their examination over the Jewish Diaspora. Using population figures, they discover the importance of percentages in exploring trends. They use their own ethnic group and determine how it is represented in the United...

Tune in for savings! Scholars investigate pricing schemes for two different online music download sites. After comparing the two, they determine the numbers of songs for which each site would be cheaper.

Students investigate Income and gender preference. In this statistic lesson, students collect data of Income to see if one gender makes more than the other. Students examine the data and draw conclusions.