A real estate company wants to study the relationship between Home price (in OMR 1000) and the following variables: Floor size (in 100 square feet (X 1 ) Type of Heating (X 2 =1 , if electricity and x 2 =0 , if Gas) , Location of home (X 3 =1 town and X 3 =0 , if in village). Use this to answer the following questions: Then the standard error of beta 1 (S b1 ) is A. None B. 1.7379 C. 4.0169 D.23.7078 E. 0.5754

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.3: Lines
Problem 7E
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3. A real estate company wants to study the relationship between Home price (in OMR 1000) and the following variables: Floor size (in 100 square feet (X 1 ) Type of Heating (X 2 =1 , if electricity and x 2 =0 , if Gas) , Location of home (X 3 =1 town and X 3 =0 , if in village). Use this to answer the following questions: Then the standard error of beta 1 (S b1 ) is A. None B. 1.7379 C. 4.0169 D.23.7078 E. 0.5754
G SYSTEM (ACADEMIC)
Regression
Statistics
Multiple R
R Square
Adjusted R Sq ?
Standard Error ?
Observations
14
ANOVA
df
SS
MS
Regression
Residual
83.3877
Total
6019.0343
Coefficients
Std Error
t Stat
Intercept
11.9414
1.4687
X1
3.6935
6.4188
X2
18.2378
5.4362
x3
-0.7444
5.3962
re to search
Transcribed Image Text:G SYSTEM (ACADEMIC) Regression Statistics Multiple R R Square Adjusted R Sq ? Standard Error ? Observations 14 ANOVA df SS MS Regression Residual 83.3877 Total 6019.0343 Coefficients Std Error t Stat Intercept 11.9414 1.4687 X1 3.6935 6.4188 X2 18.2378 5.4362 x3 -0.7444 5.3962 re to search
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