11 of 15 The Pearson correlation coefficient is calculated by dividingthe sum of
ID: 2919222 • Letter: 1
Question
11 of 15
The Pearson correlation coefficient is calculated by dividingthe sum of the cross-products of Z- scores by
the number of cases minus one.
the number of Z- scores.
the number of Z- scores minus one.
the number of cases.
12 of 15
It is a good idea to construct a scatter diagram beforecomputing the correlation coefficient because
there is no point in computing the correlation if you can see aclear line formed on the graph.
there are different procedures depending on whether thereappears to be a positive or a negative correlation.
it permits you to estimate the degree and direction ofcorrelation to provide a check on your eventual computations.
you should only compute a correlation coefficient if you see aclear curvilinear correlation.
13 of 15
Suppose that you would like to predict a person's college GPAfrom the person's SAT score. In this situation, the SAT score iscalled the
predictor variable.
dependent variable.
criterion variable.
positive variable.
14 of 15
A study finds that the longer a book, the less willing childrenare to read it. This relation between book length and children'sinterest is an example of a __________ correlation.
positive
negative
zero
curvilinear
15 of 15
In a perfect linear correlation, the dots in a scatter diagramall fall __________.
in a circle
in a straight line
in random fashion
cannot tell from information given
the number of cases minus one.
the number of Z- scores.
the number of Z- scores minus one.
the number of cases.
Explanation / Answer
11. The number of Z- scores. 12. It permits you to estimate the degree and direction ofcorrelation to provide a check on your eventual computations. 13. Predictor variable. 14. Negative 15. In a straight lineRelated Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.