Unit 3: Describing Relationships (two variables)

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Across
  1. 3. line that describes the relationship between two quantitative variables
  2. 5. graphical display of the relationship between two quantitative variables
  3. 9. y-hat is the ____ value of the y-variable for a given x-value
  4. 12. an individual value that falls outside the overall pattern of the relationship
  5. 13. the use of a regression line to make a prediction outside the observed x values
  6. 15. A ___ association is defined when above average values of the explanatory are accompanied by above average values of the response (variables go in the same direction).
  7. 18. The coefficient of ____ describes the percentage of variability in y values that is explained by the least squares regression on x.
Down
  1. 1. Individual points that substantially change the correlation or slope of the regression line
  2. 2. the difference between an observed value of the response and the value predicted by the regression line
  3. 4. The ___-___ regression line is also known as the line of best fit (2 words)
  4. 6. The ___ of a relationship in a scatterplot is determined by how closely the points follow a clear form.
  5. 7. value that measures the strength of the relationship between two quantitative variables
  6. 8. A ___ association is defined when above average values of one variable are accompanied by below average values of the other (variables go in opposite directions).
  7. 10. variable that may help explain or influence changes in another variable
  8. 11. The ___ of a scatterplot is usually linear or nonlinear (rhymes with "storm").
  9. 14. the amount by which y is predicted to change (on average) when x increases by 1 unit
  10. 16. Association does not imply ____.
  11. 17. The ____ of a scatterplot indicates a positive or negative association between the variables.