Learning Through Teaching

Edit Answers
1234567891011
Across
  1. 3. Process used to put variables on the same scale before computing r.
  2. 6. Symbol (Ŷ) for the predicted value of the dependent variable.
  3. 8. Criterion used to pick the line that minimizes sum of squared errors.
  4. 9. Statistic that indexes the strength and direction of a linear relationship between two variables.
  5. 10. Analysis that uses a line of best fit to predict an outcome variable from a predictor.
  6. 11. Standardized values used to compute the sum of cross-products when calculating r.
Down
  1. 1. What regression partitions into explained and unexplained components.
  2. 2. A graph where each data point is plotted at its X and Y coordinates.
  3. 4. Type of correlation where one variable increases while the other decreases.
  4. 5. The point where the regression line crosses the Y-axis.
  5. 7. Type of correlation where both variables move in the same direction.
  6. 10. Differences between actual values and predicted Y values (Y – Ŷ).