1. Quiz 9  Correlation (linear)  Regression

2. 1. Which of the following are the correct hypotheses for testing linear correlations? a) H 0 : μ = 0H 1 : μ ≠ 0 b) H 0 :  = 1H 1 :  ≠ 1 c) H 0 :  = 0 H 1 :  ≠ 0 d) H 0 :   =   H 1 :   ≠  

3. 2. The diagram at bottom illustrates which type of relationship? a) positive linear b) negative linear c) curvilinear d) no relationship

4. 3. What are the critical r-values for a two-tailed test of linear correlation for 12 pairs of data with =0.05? a) +/–0.648 b) +/–0.576 c) +/–0.553 d) +/–0.532

5. 4. Twelve subjects were tested before and after an experimental treatment. Given a correlation of 0.740 is there a sig. linear correlation given =0.05 ? a) yes b) no c) indeterminate

6. 5. Given a correlation coefficient of 0.740 what is the coefficient of determination (amount of explained variation)? a) 1.480 b) 0.548 c) 0.452 d) 0.860

7. 6. What condition is necessary before determining a regression line? a) data are approximately normally distributed b) slope is greater than 1.000 c) mean difference is significant d) there is a significant correlation

8. 7. The following regression equation was computed between body MASS and STRENGTH. Given a body mass of 70 kg what is the predicted strength in newtons? a) 2170 N b) 700 N c) 206 N d) 238 N

9. 8. Given the following SPSS output what can you conclude about the relationship? a) no sig. linear b) sig. positive linear c) sig. negative linear d) sig. curvilinear