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 (h) below. Click the icon to view the housing data. (e) Find the least-squares regression line treating square footage as the explanatory variable. i Data Table y x+ (Round to two decimal places as needed.) Selling Price ($000s), y Square Footage, x (f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. 2183 376.4 A. For every additional thousand dollars in selling price, the square footage increases by square feet, on average 381.8 3234 (Round to two decimal places as needed.) 1108 186.8 thousand dollars, on average 2007 342.9 B. For every additional square foot, the selling price increases by 3061 613.7 (Round to two decimal places as needed.) 2720 361.6 C. For a house that is sold for $0, the predicted square footage is 4171 636.8 (Round to two decimal places as needed.) 385.3 2264 D. For a house that is 0 square feet, the predicted selling price is thousand dollars 2724 443 (Round to two decimal places as needed.) 292.4 1671 O E. It is not appropriate to interpret the slope 1699 257.6 3924 707.9 (g) Is it reasonable to interpret the y-intercept? Why? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. Yes-a house of square feet is possible and within the scope of the model Print Done (Type an integer or a simplified fraction.) B. No-a house of square feet is not possible and outside the scope of the model (Type an integer or a simplified fraction.) C. No-a house of square feet is outside the scope of the model (g) Is it reasonable to interpret the y-intercept? Why? Select the correct choice below and, if necessary, fill in the answer box to complete your choice A. Yes-a house of square feet is possible and within the scope of the model (Type an integer or a simplified fraction.) B. No-a house of square feet is not possible and outside the scope of the model. (Type an integer or a simplified fraction.) C. No-a house of square feet is outside the scope of the model (Type an integer or a simplified fraction.) D. No-a house of square feet is not possible (Type an integer or a simplified fraction.) O E. More information about the houses is necessary before deciding (h) One home that is 1427 square feet is sold for $215 thousand. Is this home's price above or below average for a home of this size? thousand The home's price is the average price. The average price of a home that is 1427 square feet is $ (Round to the nearest whole number as needed.) Click to select your answer(s)

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 (h) below. Click the icon to view the housing data. (e) Find the least-squares regression line treating square footage as the explanatory variable. i Data Table y x+ (Round to two decimal places as needed.) Selling Price ($000s), y Square Footage, x (f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. 2183 376.4 A. For every additional thousand dollars in selling price, the square footage increases by square feet, on average 381.8 3234 (Round to two decimal places as needed.) 1108 186.8 thousand dollars, on average 2007 342.9 B. For every additional square foot, the selling price increases by 3061 613.7 (Round to two decimal places as needed.) 2720 361.6 C. For a house that is sold for $0, the predicted square footage is 4171 636.8 (Round to two decimal places as needed.) 385.3 2264 D. For a house that is 0 square feet, the predicted selling price is thousand dollars 2724 443 (Round to two decimal places as needed.) 292.4 1671 O E. It is not appropriate to interpret the slope 1699 257.6 3924 707.9 (g) Is it reasonable to interpret the y-intercept? Why? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. Yes-a house of square feet is possible and within the scope of the model Print Done (Type an integer or a simplified fraction.) B. No-a house of square feet is not possible and outside the scope of the model (Type an integer or a simplified fraction.) C. No-a house of square feet is outside the scope of the model (g) Is it reasonable to interpret the y-intercept? Why? Select the correct choice below and, if necessary, fill in the answer box to complete your choice A. Yes-a house of square feet is possible and within the scope of the model (Type an integer or a simplified fraction.) B. No-a house of square feet is not possible and outside the scope of the model. (Type an integer or a simplified fraction.) C. No-a house of square feet is outside the scope of the model (Type an integer or a simplified fraction.) D. No-a house of square feet is not possible (Type an integer or a simplified fraction.) O E. More information about the houses is necessary before deciding (h) One home that is 1427 square feet is sold for $215 thousand. Is this home's price above or below average for a home of this size? thousand The home's price is the average price. The average price of a home that is 1427 square feet is $ (Round to the nearest whole number as needed.) Click to select your answer(s)

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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