Imagine that a researcher correctly computes a correlation coefficient to quantify the relationship between two variables. In the data set that she works with, low scores on Variable X tend to be with low scores on Variable Y, and high scores on Variable X tend to be paired with high scores on Variable Y. Based on this data set, what type of correlation coefficient should the researcher expect to find? a) A positive correlation coefficient b) A negative correlation coefficient c) A correlation coefficient of O

a) A positive correlation coefficient

Explanation:Correlation means there is a relationship that exist between two variables, doesn't say why but it tells us that there is a relationship.

A positive correlation means variable seems to move towards the same direction such that an increase of one of these variables leads to an increase of the other variable or a decrease on the other variable also lead to a decrease in the other, but it doesn't say the other one causes the change in the other.

"low scores on Variable X tend to be with low scores on Variable Y, and high scores on Variable X tend to be paired with high scores on Variable Y. " This shows positive correlation.

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