How do positive and negative correlations differ?
a. A correlation coefficient is a statistic that indicates the direction and strength of the relation between two variables. b. Positive correlation: Higher score on one variable is associated with a higher score on the second variable. (tall person has higher weight) c. Negative correlation: Higher score on one variable is associates with a lower score on the second variable. (Low moral, high turnover.) 20. How is a correlation coefficient interpreted? a. Range is from +1.00 to -1.00 b. Absolute value of the statistic tells the strength of the correlation. c. The closer the correlation is to +1.00 or -1.00 the stronger are the two variables related. d. Zero correlation means that X and Y are not statistically related. 21. Explain how correlational research can be used to predict behaviour. a. If two variables are correlated, either positively or negatively, knowing the score of one variable helps us to predict the score of the other variable. b. Correlational research about High schoo
