<- Save & Exit Certify Lesson: 4.7 Applications of Percent JEREMI 11/15 Question 12 of 12, Step 3 of 3 Correct The cost of a refrigerator to a store owner was $750, and she sold the refrigerator for $1020. Step 3 of 3: What was her percent of profit based on selling price? Follow the problem-solving process and round your answer to the nearest hundre Answer How to enter your answer

<- Save & Exit Certify Lesson: 4.7 Applications of Percent JEREMI 11/15 Question 12 of 12, Step 3 of 3 Correct The cost of a refrigerator to a store owner was $750, and she sold the refrigerator for $1020. Step 3 of 3: What was her percent of profit based on selling price? Follow the problem-solving process and round your answer to the nearest hundre Answer How to enter your answer

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Description: <- Save & Exit CertifyLesson: 4.7 Applications of PercentJEREMI11/15Question 12 of 12, Step 3 of 3CorrectThe cost of a refrigerator to a store owner was $750, and she sold the refrigerator for $1020.Step 3 of 3: What was her percent of profit based

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015

1st Edition

ISBN:9781680331141

Author:HOUGHTON MIFFLIN HARCOURT

Publisher:HOUGHTON MIFFLIN HARCOURT

Chapter11: Data Analysis And Displays

Section: Chapter Questions

Problem 1CA

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The trend in home building in recent years has been to emphasize open spaces and great rooms, rather than smaller living rooms and family rooms. A builder of speculative homes in the college community of Oxford, Ohio, had been building such homes, but his homes had been taking many months to sell and had been selling for substantially less than the asking price. In order to determine what types of homes would attract residents of the community, the builder contacted a statistician at a local college. The statistician went to a local real estate agency and obtained the data contained in file OxHome. This data includes the sales price (measured in thousand dollars), square footage, number of rooms, number of bedrooms, and age for each of 60 single-family residences recently sold in the community. Using this data, a regression model was built to predict the sales price of houses in this community. The regression equation from the model is: sales price (thousand dollars) = 19.5 + 0.1079…
The trend in home building in recent years has been to emphasize open spaces and great rooms, rather than smaller living rooms and family rooms. A builder of speculative homes in the college community of Oxford, Ohio, had been building such homes, but his homes had been taking many months to sell and had been selling for substantially less than the asking price. In order to determine what types of homes would attract residents of the community, the builder contacted a statistician at a local college. The statistician went to a local real estate agency and obtained the data contained in file OxHome. This data includes the sales price (measured in thousand dollars), square footage, number of rooms, number of bedrooms, and age for each of 60 single-family residences recently sold in the community. Using this data, a regression model was built to predict the sales price of houses in this community. The regression equation from the model is: sales price (thousand dollars) = 19.5 + 0.1079…
The trend in home building in recent years has been to emphasize open spaces and great rooms, rather than smaller living rooms and family rooms. A builder of speculative homes in the college community of Oxford, Ohio, had been building such homes, but his homes had been taking many months to sell and had been selling for substantially less than the asking price. In order to determine what types of homes would attract residents of the community, the builder contacted a statistician at a local college. The statistician went to a local real estate agency and obtained the data contained in file OxHome. This data includes the sales price (measured in thousand dollars), square footage, number of rooms, number of bedrooms, and age for each of 60 single-family residences recently sold in the community. Using this data, a regression model was built to predict the sales price of houses in this community. The regression equation from the model is: sales price (thousand dollars) = 19.5 + 0.1079…
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