The Lifestyle Data Challenge - Scatter Plot Anlaysis

This 8th-grade statistics worksheet helps students understand the power of scatter plots for analyzing real-world data. Instead of relying only on a data table, students explore three scatter plots that reveal patterns between teen lifestyle habits such as screen time, sleep hours, study time, test scores, exercise minutes, and calories burned. Learners identify associations, clusters, and outliers, compare graphs with the original data table, and explain why scatter plots make patterns easier to see.

This activity supports key CCSS 8.SP standards and builds foundational data literacy skills needed for high school math, science, and career pathways.

Students will:

• Compare a raw data table with visual scatter plots
• Identify positive, negative, and nonlinear associations
• Recognize clusters, trends, and outliers in real-world data
• Interpret patterns related to teen health and study habits
• Explain why scatter plots are more effective than data tables for analyzing relationships
• Make informal predictions based on visual data patterns

Perfect for:

• Classwork, stations, or warm-ups
• Introductory lessons on bivariate data
• Reviews of 8.SP standards
• Math, science, or data literacy units

This worksheet gives students a meaningful, real-life context while strengthening their ability to interpret and communicate data insights using scatter plots.