Simple Linear Regression

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Across
  1. 2. an individual value that falls outside of the overall pattern of the relationship
  2. 5. a ____________ association is defined when above average values of one variables are accompanied by above average values of the other
  3. 7. y-hat is the ____________ value of the y-variable for a given x
  4. 10. Important note: Association does not imply ____________
  5. 11. another name for the x-variable
  6. 12. to calculate a confidence interval, we must use the standard ____________ of the statistic
  7. 16. graphical display of the relationship between two quantitative variables
  8. 17. a ____________ point substantially change the estimated restression model/line
Down
  1. 1. measures the strength and direction of the linear relationship between two quantitative variables
  2. 3. observed y - predicted y
  3. 4. a ____________ association is defined when above average values of one variables are accompanied by below average values of the other
  4. 6. when data display a curved relationship, we can perform a ____________ to possibly 'straighten' it out
  5. 8. the use of a regression model to make a prediction far outside the oberved x values
  6. 9. the coefficient of ____________ indicates the proportion of variability in y values that can be explained by the model
  7. 13. to estimate the population (true) slope, we can construct a ____________ interval
  8. 14. another name for the y-variable
  9. 15. the amount by which y is predicted to change (on average) when x increases by one unit