You want to examine whether omega-3 consumption is associated with body mass index (BMI) using linear regression. You use the following equation to fit your line:

BMI = intercept + slope*omega-3

After fitting your linear regression to the data, you calculate an R2of 0.1. Given this calculation, which of the following statements is most correct?

a.

10% of random (null) lines could produce an effect as strong or stronger than observed.

b.

10% of the variation in BMI is explained by omega-3 consumption.

c.

There is a 10% chance that omega-3 consumption is associated with BMI.

d.

For every 1 unit consumption of omega-3, BMI increases by 10%.