SOLUTION: 1. In a study of how late people are to work, 64% of the variability of the amount of time late could be accounted for by the time spent in traffic jams. What was the correlation c

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Question 648000: 1. In a study of how late people are to work, 64% of the variability of the amount of time late could be accounted for by the time spent in traffic jams. What was the correlation coefficient?
choose an answer
a. .6
b. .64
c. .8
d. None of the above are correct
2. The direction of causality
choose an answer
a. Can be determined when two variables have significant linear correlation
b. Can be determined when two variables have significant nonlinear correlation
c. Can be determined when two variables have no correlation
d. Cannot be determined based on correlation alone
3. Consider the following sets of variables. When is computing correlation appropriate?
choose an answer
a. Weight and height
b. Gender and height
c. Age (11-20, 21-30, …) and height
d. Name and height
4. Which of the following correlations is weakest?
choose an answer
a. -1
b. -.5
c. 0
d. +1
5. A variable that can be used to predict the value of another variable is called
choose an answer
a. predictor variable
b. criterion variable
c. continuous variable
d. discrete variable


Answer by stanbon(75887) About Me  (Show Source):
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1. In a study of how late people are to work, 64% of the variability of the amount of time late could be accounted for by the time spent in traffic jams. What was the correlation coefficient?
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R^2 = 0.64
R = 0.8
======================
choose an answer
a. .6
b. .64
c. .8
d. None of the above are correct
--------------------------------
2. The direction of causality
choose an answer
a. Can be determined when two variables have significant linear correlation
b. Can be determined when two variables have significant nonlinear correlation
c. Can be determined when two variables have no correlation
d. Cannot be determined based on correlation alone
---
Ans: d
====================================
3. Consider the following sets of variables. When is computing correlation appropriate?
choose an answer
a. Weight and height::: yes
b. Gender and height::: yes
c. Age (11-20, 21-30, …) and height:::yes
d. Name and height::: no
========================================================
4. Which of the following correlations is weakest?
choose an answer
a. -1
b. -.5
c. 0
d. +1
--
Ans: c
============================
5. A variable that can be used to predict the value of another variable is called choose an answer
a. predictor variable
b. criterion variable
c. continuous variable
d. discrete variable
--
Ans a
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Cheers,
Stan H.