STATS Chapter 2 Vocabulary

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Across
  1. 2. The line that makes the sum of the squared residuals as small as possible.
  2. 6. Measures the percent reduction in the sum of squared residuals.
  3. 9. A line that describes how a response variable y changes as an explanatory variable x changes.
  4. 12. A scatterplot that plots the residuals on the vertical axis and the explanatory variable on the horizontal axis.
  5. 13. Measures an outcome of a study.
  6. 15. Shows the relationship between two quantitative variables measured on the same individuals.
  7. 16. The predicted value of y when x=0.
Down
  1. 1. A measure of the strength and direction of a linear relationship between two quantitative variables.
  2. 3. Describes the predicted change in the y variable for each 1-unit increase in the x variable.
  3. 4. Knowing the value of one variable helps us predict the value of the other.
  4. 5. An individual value that falls outside the overall pattern of the relationship.
  5. 7. The difference between an observed value of y and the value of y predicted by the regression line.
  6. 8. A model in the form y=ax^2+bx+c.
  7. 10. Model in the form y=ab^x.
  8. 11. The use of a regression line for prediction far outside the interval of x values used to obtain the line.
  9. 14. May help predict or explain changes in a response variable.