17. Ifeducational attainments significantly differ between the groups, which procedure is the most appropriate to concurrently reveal the effects of education and severity of cognitive impairment on the testing scores?
(A). Analysis of covariance
(B). Multiple linear regression
(C). Partial correlation
(D). Logistic regression

1.How many participants were recruited in this study? (A). 219 (B). 116 (C). 51 (D). 40

2.Which of the following statement is correct? (A). The mode of the depressive group is 5 (B). The mode of the anxiety group is 7 (C). The mode of the depressive group is 82 (D). The mode of the anxiety group is 89

3. What is the value of the median for the depressive group? (A)85.0 (B). 89.0 (C). 91.0 (D). 87.5

4. Which is not an appropriate method for testing the normality for both groups? (A). Mean and standard deviation of the anxiety scale scores (B). Kurtosis and skewness of the anxiety scale scores (C). Q-Q plots (D). Shapiro-Wilk test

5. If the optimal cutoff of the anxiety scale = 80, which of the following statement is true? (A). The proportions of participants with abnormal anxiety scores in both groups are equal (B). The sensitivity of the he anxiety scale to detect anxiety disorders is high (C). The proportions of the participants s with abnormal anxiety scores for both groups do not significantly differ (D). The mean anxiety scale score for the anxiety group is significantly higher than that of the depressive group

6. The scatter plot shows (A). a weak negative relationship between years of education and fluid intelligence (B). a moderately strong negative relationship between years of education and fluid intelligence (C), a weak positive relationship between years of education and fluid intelligence (D), a moderately strong positive relationship between years of education and fluid intelligence

7. A plausible value of the correlation coefficient between years of education and fluid intelligence is (A). r=-30 (B). r=.40 (C).r=-.50 (D). r= .70

8.If the slope of the least-square regression line to predict fluid intelligence from years of education is 0.60, what does this line tell us? (A). The correlation between years of education and fluid intelligence is .60 (B). On the average, fluid intelligence increases 0.6 for each additional year of education of a volunteer (C). A volunteer who has no education still has a fluid intelligence scor ore of 0.60 (D). The eflect of years of education on fluid intelligence is unlikely to be significant

9. If the standardized slope of the above least-square linear function is 0.50, which statement below is false? (A). The intercept of the linear function equals to 0 (B). The relation between years of education and fluid intelligence is moderately strong (C). The mean s standardized residual of the linear function equals to 0 (D). The correlation between years of education and fuid intelligence is greater than .5o

10. If the coefficient of determination of the least-square linear function is . 15, which statement below is true? (A). Years of education only account for 15% of variance of fluid intelligence (B). The goodness-of-fit of the linear function is satisfactory (C). The correlation between years of education and fluid intelligence is . 15 (D). The predictive error of the linear function is about 15%

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