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 ý is the predicted price (in dollars) of a set. Which statement best describes the meaning of the y-intercept of the regression line? %3! 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. When the number of pieces is 0, the predicted price is $1.20. This interpretation is not meaningful because a set cannot have O 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.

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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 ý 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.
When the price of a set is $0, the predicted number of pieces is 1.20.
When the number of pieces is 0, 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.
Transcribed Image Text: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 ý 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. When the price of a set is $0, the predicted number of pieces is 1.20. When the number of pieces is 0, 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.
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