Final answer:
If two datasets have a high positive correlation, the slope of the regression line will be positive, not negative. Therefore, the answer is false.
Step-by-step explanation:
When two datasets have a high positive correlation, this indicates that as one variable increases, the other also increases, and when one variable decreases, the other also decreases.
Due to this relationship, the slope of a regression line fit to those datasets will be positive, not negative. Thus, the correct answer to the question 'If two datasets have high positive correlation, the slope of a regression line fit to those datasets will be negative?' is false.
It's important to understand that a negative slope indicates two variables have a negative relationship; essentially, when one variable increases, the other decreases, and vice versa, which is not the case in a positive correlation scenario.