Harold Is a College Sophomore Who Is Trying to Get

question 2

Multiple Choice

Harold is a college sophomore who is trying to get in shape for spring break.He would like to lose the body weight he has gained during his freshman and sophomore years.In high school,he played sports and his family prepared healthy meals,but his freshman and sophomore years have proven to be very different with late nights of school work,hanging out with friends playing poker,and eating lots of take-out food,snacking on pizza,and drinking soda.Harold,who is 5' 10",has gained 18 pounds and now weighs 182 pounds.
Harold has never tried to lose weight before and decides to talk to a personal trainer at the gym to get help.During Harold's consultation,the personal trainer calculates his BMI,determines his ideal body weight,and measures his body fat content using skinfold calipers.The personal trainer tells Harold his body composition is 26% fat.The personal trainer also measures Harold's waist,and his waist circumference is a little over 40".
-Harold's personal trainer warns him about the disease risk associated with high levels of visceral fat.Which dietary and/or lifestyle change would most likely help Harold in reducing his risk of metabolic abnormalities?​

• A)​walking and jogging regularly and maintaining his current diet
• B)replacing his fast food intake with large portions of fruits,vegetables,and whole grains
• C)beginning a strength training regimen
• D)walking and jogging regularly and eating a protein-based diet
• E)​walking and jogging regularly and beginning a strength training regimen

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Definitions:

Specific Risk

The risk associated with individual securities or businesses, distinct from overall market risk, that can be mitigated through diversification.

Standard Error

A statistical term that measures the accuracy with which a sample distribution represents a population by using standard deviation.

Regression Line

A straight line that best fits the data points in a scatter plot, showing the relationship between two variables.

Sum Of Squares

A statistical measure that quantifies the dispersion of a set of data points by summing the squared deviations from their mean.