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One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through below. E Click the icon to view the housing data - X Data table Square Footage, x Selling Price (S000s), y a 375.2 (c) Determine the linear correlation coefficient between square footage and asking price. 2173 3244 383.9 1144 192.4 (Round to three decimal places as needed.) 2043 348.6 (d) Is there a linear relation between square footage and asking price? 3043 610.9 2667 354.2 O Yes 4025 614 2290 389.5 O No 2500 408 (e) Find the least-squares regression line treating square footage as the explanatory variable. 1722 300.2 1811 275.1 3951 711.8 (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) fanmum

One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through below. E Click the icon to view the housing data - X Data table Square Footage, x Selling Price (S000s), y a 375.2 (c) Determine the linear correlation coefficient between square footage and asking price. 2173 3244 383.9 1144 192.4 (Round to three decimal places as needed.) 2043 348.6 (d) Is there a linear relation between square footage and asking price? 3043 610.9 2667 354.2 O Yes 4025 614 2290 389.5 O No 2500 408 (e) Find the least-squares regression line treating square footage as the explanatory variable. 1722 300.2 1811 275.1 3951 711.8 (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) fanmum

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through below. E Click the icon to view the housing data. - X Data table Square Footage, x Selling Price (S00s), y a (c) Determine the linear correlation coefficient between square footage and asking price. 2173 375.2 3244 383.9 1144 192.4 (Round to three decimal places as needed.) 2043 348.6 3043 610.9 (d) Is there a linear relation between square footage and asking price? 2667 354.2 Yes 4025 614 2290 389.5 O No 2500 408 (e) Find the least-squares regression line treating square footage as the explanatory variable. 1722 300.2 1811 275.1 y =x+ O (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) 3951 711.8 (f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. For every additional thousand dollars in selling price, the square footage increases by square feet, on average. Print Done (Round to three decimal places as needed.) O B. For a house that is 0 square feet, the predicted selling price is thousand dollars. (Round to three decimal places as needed.) O C. For a house that is sold for $0, the predicted square footage is
Transcribed Image Text:One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through below. E Click the icon to view the housing data. - X Data table Square Footage, x Selling Price (S00s), y a (c) Determine the linear correlation coefficient between square footage and asking price. 2173 375.2 3244 383.9 1144 192.4 (Round to three decimal places as needed.) 2043 348.6 3043 610.9 (d) Is there a linear relation between square footage and asking price? 2667 354.2 Yes 4025 614 2290 389.5 O No 2500 408 (e) Find the least-squares regression line treating square footage as the explanatory variable. 1722 300.2 1811 275.1 y =x+ O (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) 3951 711.8 (f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. For every additional thousand dollars in selling price, the square footage increases by square feet, on average. Print Done (Round to three decimal places as needed.) O B. For a house that is 0 square feet, the predicted selling price is thousand dollars. (Round to three decimal places as needed.) O C. For a house that is sold for $0, the predicted square footage is
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