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Analyzing NFL Data: Games Played vs Points Scored

📑 5 slides 👁 28 views 📅 1/27/2026
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Project Overview

Research real-world NFL data to find correlation between games played and points scored.

Project Overview
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Choosing Your Data

  • Independent variable: Games played by Philadelphia Eagles (X-axis).
  • Dependent variable: Points scored by Philadelphia Eagles (Y-axis).
  • Collect minimum 20 data pairs from reliable sports statistics sources.
  • Record data in clear table format for easy plotting.
Choosing Your Data
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Creating the Scatter Plot

  • Use approved tools like Excel, Google Sheets, or Desmos for plotting.
  • Include title, labeled axes with units, and accurate data points.
  • Add line of best fit (manually or calculated by software).
  • Display equation of line of best fit if using digital tools.
Creating the Scatter Plot
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Analyzing Your Results

  • Determine correlation type: positive (more games = more points?).
  • Assess relationship strength: strong, moderate, or weak.
  • Interpret slope (points per game) and y-intercept (base points).
  • Evaluate if results make logical sense for NFL performance.
Analyzing Your Results
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Conclusion and Predictions

  • Summarize whether games played significantly affects scoring.
  • Explain any surprising findings or expected results.
  • Use line equation to predict points for unplayed future games.
  • Discuss potential improvements or alternative variables.
Conclusion and Predictions
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