The difference between a positive correlation and a negative correlation is that

Question

The difference between a positive correlation and a negative correlation is that O in a negative correlation, high scores go with high scores and low with low; in a positive correlation, high scores go with low scores and low with high. O in a negative correlation, high scores go with low scores and low with high: in a positive correlation, high scores go with high scores and low with low. O negative correlations are curvilinear; positive correlations are straight lines. O negative correlations represent a weak relationship: positive correlations represent a strong relationship

Explanation / Answer

1. The answer is Option 2, In a negative correlation, low scores go with a high score, whereas in a positive correlation high scores go with high scores and low scores go with low scores.

2. The answer is Option 1, 14. In a t-test, the degrees of freedom is calculated as (n-2). As n is 16, the answer is 14.

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