Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sq ft. The data pertaining to 100 houses were processed...


Bluereef real estate agent wants to form a relationship between the prices of houses, how many<br>bedrooms, House size in sq ft and Lot Size in sq ft.<br>The data pertaining to 100 houses were processed using MINITAB and the following is an extract<br>of the output obtained:<br>The regression equation is Price = B + ¢Bedroom + yHouse Size + ALot Size<br>Predictor<br>Coef<br>SE Coef<br>т<br>P<br>37718<br>14177<br>2.66<br>**<br>Constant<br>Bedrooms<br>2306<br>6994<br>0.33<br>0.742<br>House Size<br>74.3<br>52.98<br>0.164<br>Lot Size<br>-4.36<br>17.02<br>-0.26<br>0.798<br>S= 25023<br>R-Sq=56.0%<br>R-Sq (adj) =54.6%<br>Source<br>DF<br>SS<br>MS<br>F<br>P<br>Regression<br>3<br>76501718347 25500572782<br>***<br>****<br>Residual<br>96<br>60109046053<br>626135896<br>Error<br>Total<br>99<br>f) Give an interpretation to the term

Extracted text: Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sq ft. The data pertaining to 100 houses were processed using MINITAB and the following is an extract of the output obtained: The regression equation is Price = B + ¢Bedroom + yHouse Size + ALot Size Predictor Coef SE Coef т P 37718 14177 2.66 ** Constant Bedrooms 2306 6994 0.33 0.742 House Size 74.3 52.98 0.164 Lot Size -4.36 17.02 -0.26 0.798 S= 25023 R-Sq=56.0% R-Sq (adj) =54.6% Source DF SS MS F P Regression 3 76501718347 25500572782 *** **** Residual 96 60109046053 626135896 Error Total 99 f) Give an interpretation to the term "R-sq" and comment on its value.

Jun 06, 2022
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