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A set of n = 15 pairs of scores (X and Y values) produces a correlation of r = 0.40.If each of the X values is multiplied by 2 and the correlation is computed for the new scores, what value will be obtained for the new correlation?


A) r = 0.20
B) r = 0.40
C) r = 0.80
D) cannot be determined without knowing all the X and Y scores

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A Pearson correlation of r = -0.90 indicates that the data points are clustered close to a line that slopes down to the right.

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The Pearson and the Spearman correlations are both computed for the same set of data.If the Pearson correlation is r = +1.00, then what can you conclude about the Spearman correlation?


A) It will be positive.
B) It will have a value of 1.00
C) It will be positive and have a value of 1.00
D) There is no predictable relationship between the Pearson and the Spearman correlations.

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A correlation of r = -0.95 means that there is essentially no consistent relationship between X and Y.

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For a positive correlation, decreases in X tend to be accompanied by decreases in Y.

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Suppose that there is a correlation of r = -0.41 between the amount of time that each student reports studying for an exam and the student's grade on the exam.This correlation would mean that there is a tendency for people who study more to get better grades.

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A set of n = 5 pairs of X and Y values has SSX = 16, SSY = 4 and SP = 2.For these data, the Pearson correlation is _____.


A) r=2/64 \mathrm{r}=2 / 64
B) r=2/8 r=2 / 8
C) r=2/8 \mathrm{r}=\sqrt{2 / 8}
D) r=64/64 r=64 / 64

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A Spearman correlation of rS = 0.45 is computed for a sample of n = 22 people.This is sufficient to conclude that there is a real (non-zero) correlation in the population.

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The sign of the correlation (+/-) is generally meaningless for the point-biserial correlation and the phi-coefficient.

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A negative correlation means that decreases in the X variable tend to be accompanied by decreases in the Y variable.

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The effect size for the data from an independent-measures t test can be measured by r2 which is the percentage of variance accounted for.Which of the following also produces the value for r2?


A) squaring the Spearman correlation for the same data
B) squaring the point-biserial correlation for the same data
C) squaring the Pearson correlation for the same data
D) None of the other options will produce r2.

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The scatter plot for a set of X and Y values shows the data points clustered in a nearly perfect circle.For these data, what is the most likely value for the Pearson correlation?


A) a positive correlation near 0
B) a negative correlation near 0
C) either positive or negative near 0
D) a value near +1.00 or -1.00

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If the following seven scores are ranked from smallest (#1) to largest, then what rank should be assigned to a score of X = 6? Scores: 1, 1, 3, 6, 6, 6, 9


A) 3
B) 4
C) 5
D) 6

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For a two-tailed hypothesis test evaluating the significance of a Pearson correlation, the null hypothesis states that the correlation for the population is zero.

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If the Pearson correlation is calculated for a sample of n = 20 individuals, what value for df should be used to determine whether or not the correlation is significant?


A) 18
B) 19
C) 20
D) 21

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For a set of n = 10 pairs of scores with Σ\Sigma X = 10, Σ\Sigma Y = 40, and Σ\Sigma XY = 50, the sum of products of deviation is SP = 10.

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The numerical value for a correlation _____.


A) can never be greater than 1.00
B) can never be less than -1.00
C) can never be greater than 1.00 and can never be less than -1.00
D) can be greater than 1.00 and can be less than -1.00

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The Spearman correlation can be +1.00 or -1.00 even when there is no linear relationship between the two variables.

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A Pearson correlation is computed for a sample of n = 18 pairs of X and Y values.What correlations are statistically significant with α = .05, two tails.


A) correlations between 0.468 and -0.468
B) correlations greater than or equal to 0.468 and correlation less than or equal to -0.468
C) correlations between 0.456 and -0.456
D) correlations greater than or equal to 0.456 and correlation less than or equal to -0.456

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If you measured hearing acuity and age for a group of people who are 50 to 90 years old, you should obtain a negative correlation between the two variables.

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