8. 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 , Gas, Location of home in town and X 3 =0 , if in village). Use this to answer the following questions: Then the P-value for testing Ho: B2=0 against H 1 :B 2 not =0 is A. 0.2623 B. 0.0073 C. 0.0037 D. 0.1312 E. None

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8. 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 , Gas, Location of home in town and X 3 =0 , if in village). Use this to answer the following questions: Then the P-value for testing Ho: B2=0 against H 1 :B 2 not =0 is A. 0.2623 B. 0.0073 C. 0.0037 D. 0.1312 E. None
du.om/mod/quiz/attempt.php?attempt3D19796038&icmid%3D9020668page%3D7
NING SYSTEM (ACADEMIC)
Regression
Statistics
Multiple R
R Square
Adjusted R Sq ?
Standard Error ?
Observations
ANOVA
df
SS
MS
F
Regression
Residual
83.8377
Total
6019.0343
BCoefficients
Std Error
t Stat
Intercept
11.9414
-1.4687
X1
3.6935
6.4188
X2
18.2378
15.4362
X3
5.3962
0.7444
e here to search
XLL
15
Transcribed Image Text:du.om/mod/quiz/attempt.php?attempt3D19796038&icmid%3D9020668page%3D7 NING SYSTEM (ACADEMIC) Regression Statistics Multiple R R Square Adjusted R Sq ? Standard Error ? Observations ANOVA df SS MS F Regression Residual 83.8377 Total 6019.0343 BCoefficients Std Error t Stat Intercept 11.9414 -1.4687 X1 3.6935 6.4188 X2 18.2378 15.4362 X3 5.3962 0.7444 e here to search XLL 15
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