Data were collected from a random sample of 320 home sales from a community in 2003. Let Price denote the selling price (in $1,000), BDR denote the number of bedrooms number of bathrooms, Haize 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 variab that is equal to 1 if the condition of the house is reported as "poor" An estimated regression yields Price 126.4+0.5148DR 24.88ach+0.165Haize+0.002Lsize (25.3) (243) (0.012) +0.095Age-51.7Poor, R-0.76, SER-440 (11.1) (9.48) (0.330) The statistic for the coefficient on BDR is (Round your response to three decimal places) is the coefficient on BDR statistically significantly different from zero? OA Since the F-statistic<1.96, the coefficient on BDR is not statistically significantly different from zero. OB. Since the 1-statistic > 0.05, the coefficient on BDR is not statistically significantly different from zero OC. Since the statistic <0.05, the coefficient on BOR is statistically significantly different from zero. OD. Since the f-statistic> 1.96, the coefficient on BDR is statistically significantly different from zero (0.00051)

Algebra: Structure And Method, Book 1
(REV)00th Edition
ISBN:9780395977224
Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Chapter2: Working With Real Numbers
Section2.3: Rules For Addition
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Data were collected from a random sample of 320 home sales from a community in 2003. Let Price denote the selling price (in $1,000), 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 126.4+0.5148DR 24.88ath+0.165Haize+0.002Lsize
(25.3) (2:43)
(9.48) (0.012)
+0.095Age-51.7 Poor, R-0.76, SER-44.0
(0.330) (11.1)
The f-statistic for the coefficient on BDR is (Round your response to three decimal places.)
Is the coefficient on BDR statistically significantly different from zero?
OA. Since the f-statistic < 1.96, the coefficient on BDR is not statistically significantly different from zero.
OB. Since the f-statistic > 0.05, the coefficient on BDR is not statistically significantly different from zero.
OC. Since the f-statistic < 0.05, the coefficient on BDR is statistically significantly different from zero.
D. Since the f-statistic > 1.96, the coefficient on BDR is statistically significantly different from zero
(0.00051)
Transcribed Image Text:Data were collected from a random sample of 320 home sales from a community in 2003. Let Price denote the selling price (in $1,000), 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 126.4+0.5148DR 24.88ath+0.165Haize+0.002Lsize (25.3) (2:43) (9.48) (0.012) +0.095Age-51.7 Poor, R-0.76, SER-44.0 (0.330) (11.1) The f-statistic for the coefficient on BDR is (Round your response to three decimal places.) Is the coefficient on BDR statistically significantly different from zero? OA. Since the f-statistic < 1.96, the coefficient on BDR is not statistically significantly different from zero. OB. Since the f-statistic > 0.05, the coefficient on BDR is not statistically significantly different from zero. OC. Since the f-statistic < 0.05, the coefficient on BDR is statistically significantly different from zero. D. Since the f-statistic > 1.96, the coefficient on BDR is statistically significantly different from zero (0.00051)
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