1.) A researcher finds that the Pearson r between two variables is +1.17. This i
ID: 3180795 • Letter: 1
Question
1.) A researcher finds that the Pearson r between two variables is +1.17. This indicates that
a.) there is a strong positive correlation between the two variables.
b.) one of the variables is not normally distributed.
c.) an error in computation was made.
d.) both of the variables are not normally distributed.
If two variables are measured on an entire population, and you are told that Pearson’s r for the two variables is near zero, which of the following can you conclude?
a.) The two variables are not linearly related.
b.) All of these.
c.) It is unlikely that there is a causal relationship between the two variables.
d.) There is very little relationship between the two variables.
3.) A researcher finds that the correlation between obesity and satisfaction with life in general is –.74 and that this correlation is statistically significant using the .05 criterion. The researcher can conclude that:
a.) being obese (i.e., overweight) makes people unhappy with life in general.
b.) both
c.) neither
d.) being unhappy with life in general causes people to become overweight.
4.) Find Pearson’s r, given the following summary statistics:
N = 10, XY = 2780, µx = 3.2, µy = 87.5, x = .4, y = 7.2
a.) +.31
b.) –.31
c.) –.69
d.) –.77
5.) If you have continuous scores on two variables, converting the scores to ranks and computing the Spearman rank-order correlation coefficient:
a.) is generally a bad idea because ranks convey less information.
b.) both
c.) may produce a better measure of correlation if one variable is highly skewed.
d.) neither
Explanation / Answer
2) If two variables are measured on an entire population, and you are told that Pearson’s r for the two variables is near zero, which of the following can you conclude?
Ans: a) The two variables are not linearly related.
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