For n = 12 pains of data, a calculated pearson r = 0.763 indicates significant c

Question

For n = 12 pains of data, a calculated pearson r = 0.763 indicates significant concelation at alpha = 0.05 geerally, the pearson and spearman will be different With alpha = 0.05 and r = -0.721 for n = 10 pain of data, on has significant consulation If y = 2/3 x, then y = 6 when x = 6 If conleration is negative, then the tendency is that as x increases, y also increases the regression lines y as x and x on y always share at least one point It is not possible for the specimen to be -0.94 It is not possible for the peason to be -1.37

Explanation / Answer

1. TRUE

2. TRUE

3. TRUE

4. FALSE (put X=6, you will get Y=7)

5. FALSE (negative correlation means inversely related in direction)

6. TRUE

7. FALSE (it's between -1 and +1 inclusive)

8. TRUE (it's between -1 and +1 inclusive)

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