Using a regression equation, which BMI would you anticipate for a 25-year-old who works 45 hours weekly?

The regression equation used in this context likely incorporates factors such as age, hours worked, and possibly other variables that influence Body Mass Index (BMI). To determine the anticipated BMI for a 25-year-old who works 45 hours per week, it’s essential to understand the relationship defined by the regression model between these variables.

In this case, the model's output suggests that the BMI value of 28.1 is appropriate for the individual described. A BMI of 28.1 indicates that this individual falls into the overweight category, which aligns with common findings in studies linking work hours and lifestyle choices to BMI. Many individuals who work long hours may have less time for physical activity and healthier eating habits, potentially impacting their overall weight and BMI.

The value of 28.1 presents a realistic estimate based on observed data trends typically reported in healthcare statistics. This reflects both age considerations and the implications of a sedentary lifestyle associated with extended work hours, which supports its validity within the framework of the regression analysis.

In contrast, the other values provide insights into how they would not align with typical expectations or observed data trends. A BMI of 66.05 is extremely high and suggests extreme obesity, which is unlikely for a typical individual regardless of hours worked.