0966dwaneidudndwannzinb/pow bölpage=5 NING SYSTEM (ACADEMIC) Regression Statistics Multiple R R Square Adjusted R Sq ? Standard Error ? Observations 14 ANOVA df SS MS Regression Residual 83.3877 Total...

6. 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 if in town and X 3 =0 , if in village). Use this to answer the following questions: Then the regression coefficient beta 2 is significant at 5% level. A. False B . None C. Not Enough evidence to make decision D. True0966dwaneidudndwannzinb/pow<br>bölpage=5<br>NING SYSTEM (ACADEMIC)<br>Regression<br>Statistics<br>Multiple R<br>R Square<br>Adjusted R Sq ?<br>Standard Error ?<br>Observations<br>14<br>ANOVA<br>df<br>SS<br>MS<br>Regression<br>Residual<br>83.3877<br>Total<br>6019.0343<br>Coefficients<br>Std Error<br>t Stat<br>Intercept<br>11.9414<br>1.4687<br>X1<br>3.6935<br>6.4188<br>X2<br>18.2378<br>5.4362<br>X3<br>5.3962<br>-0.7444<br>here to search<br>

Extracted text: 0966dwaneidudndwannzinb/pow bölpage=5 NING 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 5.3962 -0.7444 here to search

Jun 02, 2022
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