Trends and correlation in data are the focus of this Grade 9 Computer Science worksheet, helping students interpret patterns in graphs while avoiding incorrect conclusions about causation. Students distinguish changes over time from relationships between variables and practice explaining what data supports without claiming more than the evidence shows. :contentReference[oaicite:0]{index=0}

Separate trend, correlation, and causation

The lesson introduces a trend as a pattern showing how one variable changes over time. Students then examine correlation as a relationship between two variables that change together. Scatter plots provide the main visual context, with upward patterns suggesting positive correlation and downward patterns suggesting negative correlation.

Students also consider correlation strength by looking at how closely points follow a pattern. Most importantly, the resource emphasizes that even a strong relationship does not automatically prove that one variable caused the other. Other factors or chance may help explain the pattern.

Data interpretation skills students practice

• Define trend and correlation using accurate vocabulary
• Identify increasing or decreasing trends in data over time
• Interpret positive and negative correlation in scatter plots
• Distinguish correlation from causation when evaluating claims
• Explain graph patterns while staying within the available evidence

Practice careful reasoning with graphs

A dialogue, definition-matching activity, cloze passage, labeled diagram, and reading passage establish the key ideas. Multiple-choice and true-or-false questions ask students to identify trends, interpret scatter plot patterns, compare correlation strength, and critique unsupported causal claims. Short-answer prompts require students to explain why correlation does not automatically establish causation and describe how positive correlation appears on a scatter plot.

The extended response applies the concepts to study hours and test scores. Students interpret an upward scatter plot, explain what the trend and correlation suggest, and describe why additional reasoning or evidence would be necessary before claiming that studying directly caused higher scores.

Teacher support included

A separate teacher guide PDF includes learning objectives, teaching tips, discussion questions, and common mistakes. Use this correlation worksheet during a Data and Information unit, after introducing scatter plots, or when teaching students how to evaluate conclusions drawn from graphs. The resource helps students move from simply spotting patterns to making careful, evidence-based interpretations.