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...


Market researchers were interested in the relationship between the number of pieces in a brick-building set and the<br>cost of a set. Information was collected from a survey and was used to obtain the regression equation y = 0.08x +<br>1.20, where x represents the number of pieces in a set and y is the predicted price (in dollars) of a set. Which<br>statement best describes the meaning of the y-intercept of the regression line?<br>%3D<br>O When the price of a set is $0, the predicted number of pieces is 0.<br>O When the price of a set is $0, the predicted number of pieces is 1.20.<br>When the number of pieces is 0, the predicted price is $1.20. This interpretation is not meaningful because a set<br>cannot have 0 pieces.<br>O When the number of pieces is 0, the predicted price is $0.08. This interpretation is not meaningful because a set<br>cannot have 0 pieces.<br>

Extracted 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 y = 0.08x + 1.20, where x represents the number of pieces in a set and y is the predicted price (in dollars) of a set. Which statement best describes the meaning of the y-intercept of the regression line? %3D 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 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.

Jun 07, 2022
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