15. A medical researcher has been reviewing the data between amount of time spent on a treadmill and high blood pressure. What is the correlation between the two variables?

Answer: B

Explanation:

The correlation between the amount of time spent on a treadmill and high blood pressure is negative.

Engaging in physical activity, such as spending time on a treadmill, typically leads to lower blood pressure levels. Therefore, as the amount of time spent exercising increases, high blood pressure levels tend to decrease, indicating a negative correlation.

A) Positive correlation

A positive correlation would suggest that as time spent on the treadmill increases, high blood pressure also increases. This is inaccurate in the context of exercise and blood pressure, as exercise is known to help reduce blood pressure rather than increase it.

B) Negative correlation

This option correctly describes the relationship between the two variables. Research indicates that increased physical activity, such as prolonged treadmill use, generally results in lower blood pressure levels, establishing a negative correlation where one variable decreases as the other increases.

C) Weak correlation

A weak correlation implies that there is a relationship between the two variables, but it is not strong enough to be significant. In this case, the relationship between exercise and blood pressure is generally well-established, not weak, thus making this option incorrect.

D) Zero correlation

Zero correlation indicates that there is no relationship between the amount of time spent on the treadmill and blood pressure levels. This contradicts established research that shows a clear relationship, making this option incorrect.

Conclusion

The negative correlation between the amount of time spent on a treadmill and high blood pressure illustrates that increased exercise can lead to lower blood pressure levels. Options A, C, and D fail to recognize this established relationship, confirming that B is the only accurate choice regarding the correlation between these two variables.