Data on x the weight of a pickup truck (pounds) and - distance (in feet) required for a truck traveling 40 miles per hour to come to a complete stop for 30 trucks was used to fit the least squares regression line y-26 + 0 05e which of the following statements is a correct interpretation of the value 0.05 in the equation of the regression line?

a. The correlation coefficient for this data set is 0.05
b. On average, the truck weight goes up 0.05 pound for each additional foot required to stop the truck.
c. On average, the stopping distance is 0.05 foot when the truck weight is 0.
d. On average, the stopping distance goes up 0.05 foot for each 1-pound increase in truck weight.
e. Approximately 5% of the variation in the stopping distances can be explained by the linear relationship between stopping distance and truck weight.