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 + Bredroom + House Size + Alot Size Predictor                        Coef                SE Coef          T          P Constant                       37718               14177         2.66        ** 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 a) Write out the regression equation.  b) Fill in the missing values *, **, *** and ****.  c) Use the p-value approach to determine if ? is significant at the 5% significance level d) Is ? significantly different from -0.5? e) Perform the F test at the 1% level, making sure to state the null and alternative hypotheses.  f) Give an interpretation to the term “R-sq” and comment on its value

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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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 + Bredroom + House Size + Alot Size
Predictor                        Coef                SE Coef          T          P
Constant                       37718               14177         2.66        **
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
a) Write out the regression equation. 
b) Fill in the missing values *, **, *** and ****. 
c) Use the p-value approach to determine if ? is significant at the 5% significance level
d) Is ? significantly different from -0.5?
e) Perform the F test at the 1% level, making sure to state the null and alternative hypotheses. 
f) Give an interpretation to the term “R-sq” and comment on its value . 

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