Test: Correlation and linear model
This test evaluates relationships between two variables using correlation and a linear model. Students interpret the correlation coefficient and R², calculate predictions and residuals and assess model suitability and the limits of causal conclusions.
Question qty: 10
Duration in minutes: 11
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Sample questions
- Observed y = y, predicted ŷ = p. Find residual y − ŷ.
- The correlation coefficient is r = r. What is the direction?
- Compare correlations r₁ = a and r₂ = b. Which is stronger?
- Which variable in a linear model is called dependent?
- What should be considered when deciding whether a linear model is suitable?
- Why does strong correlation not necessarily mean causation?
- The trend line is y = ax + (b). Predict y when x = x.
- A model has R² = r. What percentage of variation does it explain?
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