2. Data were collected from a random sample of 220 home sales from a community in 2003. Let Price denote the selling price (in $1000), BDR denote the number of bedrooms, Bath denote the number of bathrooms, Hsize denote the size of the house (in square feet), Lsize denote the lot size (in square feet), Age denote the age of the house (in years), and Poor denote a binary variable that is equal to 1 if the condition of the house is reported as "poor." An estimated regression yields Price 119.2+0.485 BDR +23.4 Bath +0.156 Hsize +0.002 Lsize (23.9) (2.61) (8.94) (0.011) (0.00048) +0.090 Age-48.8 Poor, (0.311) (10.5) R² = 0.72, SER= 41.5 (a) What is the loss in value if a homeowner lets his house run down so that its condition becomes "poor"? (b) Compute the (unadjusted) R² for the regression. (c) Is the coefficient on BDR statistically significantly different from zero?

2. Data were collected from a random sample of 220 home sales from a community in 2003. Let Price denote the selling price (in $1000), BDR denote the number of bedrooms, Bath denote the number of bathrooms, Hsize denote the size of the house (in square feet), Lsize denote the lot size (in square feet), Age denote the age of the house (in years), and Poor denote a binary variable that is equal to 1 if the condition of the house is reported as "poor." An estimated regression yields Price 119.2+0.485 BDR +23.4 Bath +0.156 Hsize +0.002 Lsize (23.9) (2.61) (8.94) (0.011) (0.00048) +0.090 Age-48.8 Poor, (0.311) (10.5) R² = 0.72, SER= 41.5 (a) What is the loss in value if a homeowner lets his house run down so that its condition becomes "poor"? (b) Compute the (unadjusted) R² for the regression. (c) Is the coefficient on BDR statistically significantly different from zero?

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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