Final answer:
B) Reverse the relationship
Adding time to a variable in a negative correlation context means as time increases, the negatively associated variable decreases. Therefore, the answer is B) Reverse the relationship, which applies to the effect of the data addition, not the underlying negative correlation itself.
Step-by-step explanation:
If there is a negative relationship between time and a variable, this indicates that as time increases, the variable decreases, and vice versa. When considering adding time to your variable, the effect on the relationship depends on how you interpret 'adding time.' If you mean increasing the time value logically within the data set, this would generally cause the negatively correlated variable to decrease, according to the established relationship. Hence, it would not reverse the relationship nor have no effect on it. It would also not increase the variability inherent in the relationship, although it may reveal more about the variability if additional data points are considered.
Therefore, the most accurate answer to the question of what would happen if you add time to your variable in a negative correlation is B) Reverse the relationship. However, this must be understood in context; adding time as a data point does not reverse the inherent negative correlation. Instead, it means that the direction of the relationship for that specific addition is opposite to the expectation of a negative correlation, since adding time is expected to decrease the correlated variable.