Question

2. According to Cohen's (1988) guidelines, an r of -0.56 would be considered a correlation 3. If two variables are correlated people who have low scores on one variable will tend to have low scores on the other variable. 4. Calculating a correlation coefficient is only appropriate when there is a relation between two variables. 5. A correlation value of would indicate that there was no association between the two variables. 6. regression enables one to predict an individual's score on the dependent variable from his or her score on a single independent variable. 7. The line of best fit is the 8. The point at which the regression line crosses the is referred to as the intercept. 9. The proportionate reduction in error is also called the 10. variables are independent variables that make separate but distinct contributions in the prediction of a dependent variable, as compared with the contributions of other variables. 11. If both the independent and dependent variables are measured as scale variables, then one can use either correlation or to analyze the data 12. The effect size for chi square is ilont in which a person is wearing a seatbelt, and 33 deaths result f during miye

Answer 1

2. Negative correlation

3. positive correlation

4. Linear relation

5. Zero

6. Simple regression

7. The line of best fit is the regression equation or prediction equation

8. Mean (Xbar, Ybar)

9. Probability error

10. explanatory or prediction

11. regression

12. Cramer's V