Ch 17 and 18

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Across
  1. 2. the probability of a Type II error (false negative).
  2. 4. Used to determine a straight-line fit to the data that minimizes deviations from the line
  3. 8. Symbol used for significance level.
  4. 9. Another names for z-scores
  5. 10. Computing an index of ______ will help diagnose multicollinearity
  6. 12. Variable whose variation is hypothesized to be affected by other variables in the model
  7. 14. Problem that can occur when predictors are too highly intercorrelated
  8. 16. Limit where the null hypothesis would be rejected
  9. 18. Type of test that involves estimation of a parameter, requires measurements on at least an interval scale, and involve several assumptions.
Down
  1. 1. Relies on regression using least-squares estimation and is a method for studying causal patterns among variables
  2. 3. Refers to the number of observations free to vary about a parameter
  3. 4. Signifies the probability of incorrectly rejecting a true null hypothesis
  4. 5. Group means on the dependent variable after adjusting for covariates
  5. 6. Error terms
  6. 7. Tests researchers use to reject the null hypothesis
  7. 11. Hypothesis that researchers seek to reject
  8. 13. parametric procedure for testing differences between means where there are three or more groups
  9. 14. Estimate the parameters most likely to have generated the observed data
  10. 15. Group differences on the dependent variable that are net of the effect of covariates
  11. 17. Magnitude of the relationship between the research variables