Areal 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 if in town and X 3 =0 , if in village). Use this to answer the following questions: Then the degrees of freedom of Fstatistic for finding critical value is A . r 1 =3,r 2 =10 B. None C. r 1 =11,r 2 =3 D. r 1 =3,r 2 =11 E. r 1 =10; r 2 =3

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4. Areal 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 if in town and X 3 =0 , if in village). Use this to answer the following questions: Then the degrees of freedom of Fstatistic for finding critical value is A . r 1 =3,r 2 =10 B. None C. r 1 =11,r 2 =3 D. r 1 =3,r 2 =11 E. r 1 =10; r 2 =3
om/mod/quiz/attempt.php?attempt3D1979603&cmid%3D902066&page%3D3
NG SYSTEM (ACADEMIC)
Regression
Statistics
Multiple R
R Square
Adjusted R Sq ?
Standard Error ?
Observations
15
ANOVA
df
SS
MS
F
Regression
Residual
83.8377
Total
6019.0343
Coefficients
Std Error
t Stat
Intercept
11.9414
-1.4687
X1
3.6935
6.4188
X2
18.2378
5.4362
X3
5.3962
0.7444
ere to search
DELL
Transcribed Image Text:om/mod/quiz/attempt.php?attempt3D1979603&cmid%3D902066&page%3D3 NG SYSTEM (ACADEMIC) Regression Statistics Multiple R R Square Adjusted R Sq ? Standard Error ? Observations 15 ANOVA df SS MS F Regression Residual 83.8377 Total 6019.0343 Coefficients Std Error t Stat Intercept 11.9414 -1.4687 X1 3.6935 6.4188 X2 18.2378 5.4362 X3 5.3962 0.7444 ere to search DELL
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