Market researchers were interested in the relationship between the number of pieces in a brick-building set and the cost of a set. Information was collected from a survey and was used to obtain the regression equation ý = 0.08x +
1.20, where x represents the number of pieces in a set and ŷ is the predicted price (in dollars) of a set. Which
statement best describes the meaning of the y-intercept of the regression line?
O When the price of a set is $0, the predicted number of pieces is 0.
O When the price of a set is $0, the predicted number of pieces is 1.20.
O When the number of pieces is O, the predicted price is $1.20. This interpretation is not meaningful because a set
cannot have 0 pieces.
O When the number of pieces is 0, the predicted price is $0.08. This interpretation is not meaningful because a set
cannot have 0 pieces.