Answer:
<u>Option B. A description of the data with a correlation coefficient of -0.3 is that it is a low negative correlation.</u>
Step-by-step explanation:
In statistics, the correlation coefficient is a measure of the linear correlation between two variables x and y. This correlation coefficient can be positive, negative or it can show no correlation. A positive correlation indicates that while one data set increases, the other data set does as well, positive correlations a typically show a positive number. A negative correlation means that while one data set increases, the other data set decreases, this type of correlation is typically shown in a line that goes down on the scatter plot. No correlation means exactly that, that the two sets of data are no correlated at all.
Therefore, if the correlation coefficient is -0.3, this indicates that the correlation between the two sets of data is a negative type, as the number negative 0.3 is indicating a line that goes down, instead of a line that goes up.
