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The following scatterplot shows the relationship between the sizes of several condominiums in a newly developed building in Jersey City, measured in 100 square feet, and the associated listing prices, expressed in thousands of dollars, where y = sale price and x = size. How should the slope of the linear trend line, y = 12.15 + 44.7x, be interpreted? Size vs. Sale Price in Jersey City Listing Sale Price in $1000 800 600 400 200 7 8 y = 12.15+44-7 x w 9 10 11 Condo Size in 100 sq. ft. For every additional square foot the price of the apartment increases by $44.70 12 13 The apartments are priced at roughly $121.50 per square foot For every additional 100 square feet the price of the apartment increases by $44,700 A buyer should expect a 1000 square foot apartment to sell for roughly $44,712.15 For every additional 100 square feet the price of the apartment increases by $12,150

The following scatterplot shows the relationship between the sizes of several condominiums in a newly developed building in Jersey City, measured in 100 square feet, and the associated listing prices, expressed in thousands of dollars, where y = sale price and x = size. How should the slope of the linear trend line, y = 12.15 + 44.7x, be interpreted? Size vs. Sale Price in Jersey City Listing Sale Price in $1000 800 600 400 200 7 8 y = 12.15+44-7 x w 9 10 11 Condo Size in 100 sq. ft. For every additional square foot the price of the apartment increases by $44.70 12 13 The apartments are priced at roughly $121.50 per square foot For every additional 100 square feet the price of the apartment increases by $44,700 A buyer should expect a 1000 square foot apartment to sell for roughly $44,712.15 For every additional 100 square feet the price of the apartment increases by $12,150

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The following scatterplot shows the relationship between the sizes of several condominiums in a newly developed building in Jersey City, measured in 100 square feet, and the associated listing prices, expressed in thousands of dollars, where y = sale price and x = size. How should the slope of the linear trend line, y = 12.15 + 44.7 x, be interpreted? Size vs. Sale Price in Jersey City Listing Sale Price in $1000 800 600 400 200 y = 12.15+44-7x 7 8 9 10 11 12 Condo Size in 100 sq. ft. For every additional square foot the price of the apartment increases by $44.70 13 The apartments are priced at roughly $121.50 per square foot For every additional 100 square feet the price of the apartment increases by $44,700 A buyer should expect a 1000 square foot apartment to sell for roughly $44,712.15 For every additional 100 square feet the price of the apartment increases by $12,150
Transcribed Image Text:The following scatterplot shows the relationship between the sizes of several condominiums in a newly developed building in Jersey City, measured in 100 square feet, and the associated listing prices, expressed in thousands of dollars, where y = sale price and x = size. How should the slope of the linear trend line, y = 12.15 + 44.7 x, be interpreted? Size vs. Sale Price in Jersey City Listing Sale Price in $1000 800 600 400 200 y = 12.15+44-7x 7 8 9 10 11 12 Condo Size in 100 sq. ft. For every additional square foot the price of the apartment increases by $44.70 13 The apartments are priced at roughly $121.50 per square foot For every additional 100 square feet the price of the apartment increases by $44,700 A buyer should expect a 1000 square foot apartment to sell for roughly $44,712.15 For every additional 100 square feet the price of the apartment increases by $12,150
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