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1 When the points in a scatter plot cluster closely
1. When the points in a scatter plot cluster closely around the regression line, the correlation can be said to be
a. weak.
b. strong.
c. positive.
d. negative
2. When respondents who score high on the SAT’s tend also to get high grades in college, whereas those who score low on the SATs do poorly in college, there is reason to posit
a. a positive correlation between SATs and college grades.
b. a negative correlation between SATs and college grades.
c. a zero correlation between SATs and college grades.
d. None of the above
3. A correlation coefficient expresses in a single number
a. the strength of a correlation.
b. the direction of a correlation.
c. both the strength and the direction of a correlation.
d. None of the above.
4. r = .17 represents
a. a correlation that is strong and negative.
b. a correlation that is strong and positive.
c. a correlation that is weak and negative.
d. a correlation that is weak and positive.
5. Which of the following is not required by Pearson’s r?
a. A straightline relationship
b. Nominal data
c. Random sampling
d. Normally distributed characteristics
a. weak.
b. strong.
c. positive.
d. negative
2. When respondents who score high on the SAT’s tend also to get high grades in college, whereas those who score low on the SATs do poorly in college, there is reason to posit
a. a positive correlation between SATs and college grades.
b. a negative correlation between SATs and college grades.
c. a zero correlation between SATs and college grades.
d. None of the above
3. A correlation coefficient expresses in a single number
a. the strength of a correlation.
b. the direction of a correlation.
c. both the strength and the direction of a correlation.
d. None of the above.
4. r = .17 represents
a. a correlation that is strong and negative.
b. a correlation that is strong and positive.
c. a correlation that is weak and negative.
d. a correlation that is weak and positive.
5. Which of the following is not required by Pearson’s r?
a. A straightline relationship
b. Nominal data
c. Random sampling
d. Normally distributed characteristics
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