A real estate builder wishes to determine how house size (House) is influenced by family income (Income), family size (Size), and education of the head of household (School). House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years. The builder randomly selected 50 families and ran the multiple regression. Microsoft Excel output is provided below: TABLE 14-4 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.726 Standard Error 0.865 0.748 5.195 Observations 50 ΑΝΟΥΑ df SS MS 3605.7736 Signif F 0.0000 Regression Residual 1201.9245 1214.2264 26.3962 Total 49 4820.0000 Coeff StdError t Stat P-value Intercept -1.6335 5.8078 -0.281 0.7798 Income 0.4485 0.1137 3.9545 0.0003 Size A2615 0 0001 ne here to search Income 0.4485 0.1137 3.9545 0.0003 Size 4.2615 0.8062 5.286 0.0001 School -0.6517 0.4319 -1.509 0.1383 Referring to Table 14-4, what is the predicted house size (in hundreds of square feet) for an individual earning an annual income of $40,000, having a family size of 4, and going to school a total of 13 years? Select one: Oa. 53.87 Ob. 15.15 O c. 24.88 O d. 11.43
A real estate builder wishes to determine how house size (House) is influenced by family income (Income), family size (Size), and education of the head of household (School). House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years. The builder randomly selected 50 families and ran the multiple regression. Microsoft Excel output is provided below: TABLE 14-4 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.726 Standard Error 0.865 0.748 5.195 Observations 50 ΑΝΟΥΑ df SS MS 3605.7736 Signif F 0.0000 Regression Residual 1201.9245 1214.2264 26.3962 Total 49 4820.0000 Coeff StdError t Stat P-value Intercept -1.6335 5.8078 -0.281 0.7798 Income 0.4485 0.1137 3.9545 0.0003 Size A2615 0 0001 ne here to search Income 0.4485 0.1137 3.9545 0.0003 Size 4.2615 0.8062 5.286 0.0001 School -0.6517 0.4319 -1.509 0.1383 Referring to Table 14-4, what is the predicted house size (in hundreds of square feet) for an individual earning an annual income of $40,000, having a family size of 4, and going to school a total of 13 years? Select one: Oa. 53.87 Ob. 15.15 O c. 24.88 O d. 11.43
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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Transcribed Image Text:A real estate builder wishes to determine how house size (House) is influenced by family income (Income),
family size (Size), and education of the head of household (School). House size is measured in hundreds of
square feet, income is measured in thousands of dollars, and education is in years. The builder randomly
selected 50 families and ran the multiple regression. Microsoft Excel output is provided below:
TABLE 14-4
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square 0.726
Standard Error
0.865
0.748
5.195
Observations
50
ΑΝΟΥΑ
df
SS
MS
3605.7736
Signif F
0.0000
Regression
Residual
1201.9245
1214.2264
26.3962
Total
49
4820.0000
Coeff
StdError
t Stat
P-value
Intercept
-1.6335
5.8078
-0.281
0.7798
Income
0.4485
0.1137
3.9545
0.0003
Size
A2615
0 0001
ne here to search
Transcribed Image Text:Income
0.4485
0.1137
3.9545
0.0003
Size
4.2615
0.8062
5.286
0.0001
School
-0.6517
0.4319
-1.509
0.1383
Referring to Table 14-4, what is the predicted house size (in hundreds of square feet) for an individual earning an
annual income of $40,000, having a family size of 4, and going to school a total of 13 years?
Select one:
Oa. 53.87
Ob. 15.15
O c. 24.88
O d. 11.43
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