LT

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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Time left: 00:00:00

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?