Here is an example of a statistical question:
"What is the relationship between the number of hours of exercise per week and the body mass index (BMI) of individuals?"
To answer this question, we can collect data on the number of hours of exercise per week and the body mass index of a sample of individuals. Then, we can use statistical methods such as linear regression to model the relationship between these two variables and make predictions about how changes in exercise hours may affect an individual's BMI.
In this example, the independent variable is the number of hours of exercise per week, and the dependent variable is the body mass index. The goal is to determine the strength and direction of the relationship between these two variables and make predictions based on that relationship.