Linear Regression

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Across
  1. 6. Coefficient assessment of the strength and direction of a linear relationship.
  2. 7. correlation where x increases as y increases.
  3. 8. variable that is dependent, usually y.
  4. 11. correlation where r is between 0.8 to 1 or -0.8 to -1.
  5. 12. correlation where x increases as y decreases.
  6. 13. correlation does NOT imply ________.
Down
  1. 1. variable which is independent, usually x.
  2. 2. an outlier is a data point with a ___ residual.
  3. 3. Squares regression line that gives the best fit to the data set by minimizing the sum of the squares of the deviations.
  4. 4. graphical display which shows the relationship between two variables.
  5. 5. correlation where r is between .5 to .8 or -.5 to -.8.
  6. 9. difference between the observed value and the predicted.
  7. 10. correlation where r is between -0.5 and 0.5.