Linear Correlation Coefficielnt

Statistics
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5.Two variables, X and Y, are measured on 30 individuals and a correlation coefficient of  is computed.  Which of these is NOT a valid conclusion?

 

a) There is a linear association between X and Y.

b) Larger values of X tend to be associated with smaller values of Y.

c) Changes in X cause changes in Y.

d) There is a strong association between X and Y.

Apr 29th, 2015

the answer is (B) Larger values of X tend to be associated with smaller values of Y.

Apr 29th, 2015

i would appreciate some explanation, please

Apr 29th, 2015

sorry ....i made an error in the original post......please read problem again, note the r-value that did not appear in the 1st post:

5.Two variables, X and Y, are measured on 30 individuals and a correlation coefficient of  r = -0.865  is computed.  Which of these is NOT a valid conclusion?

a) There is a linear association between X and Y.

b) Larger values of X tend to be associated with smaller values of Y.

c) Changes in X cause changes in Y.

d) There is a strong association between X and Y.


Apr 29th, 2015

I think in this case the answer will be (d) because x and y are independent variables, as much as the may be related, there is no such strong correlations between the two

Apr 29th, 2015

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Apr 29th, 2015
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