Chapters 6-8; Scatterplots, Association, and Correlation / Linear Regression / Regression Wisdom

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Across
  1. 2. making predictions inside of given domain
  2. 6. used to make predictions by simplifying data
  3. 7. shows the relationship between two quantitative variables measured on the same class
  4. 11. numerical measure of direction and strength; does not have units
  5. 12. a.k.a. line of best fit
  6. 13. uses a model to anticipate a variable's result(s)
  7. 18. a point that affects the behavior of the LSRL when ignored
  8. 19. the variable used to predict the response variable
  9. 20. making predictions outside of given domain
Down
  1. 1. standard deviation of residuals
  2. 3. like a scatterplot where the horizontal axis is time
  3. 4. a point that doesn't fit the overall pattern
  4. 5. describes the variability accounted for
  5. 8. its description consists of direction, form, and strength
  6. 9. this type of variable could affect both variables simultaneously
  7. 10. a point has this if its x-value is far away from the rest of the data points
  8. 14. the variable that is being predicted
  9. 15. determines the relationship between two variables; positive: as one increases, so does the other and vice versa
  10. 16. is negative when an actual value is less than predicted
  11. 17. describes the degree of the scattering around the underlying relationship