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The following data on sale price, size, and land-to-building ratio for 10 large

ID: 3127630 • Letter: T

Question

The following data on sale price, size, and land-to-building ratio for 10 large industrial properties appeared in a paper.

(a) Calculate the value of the correlation coefficient between sale price and size. (Give the answer to three decimal places.)
r = ________

(b) Calculate the value of the correlation coefficient between sale price and land-to-building ratio. (Give the answer to three decimal places.)
r = _______
(c) If you wanted to predict sale price and you could use either size or land-to-building ratio as the basis for making predictions, which would you use?

A) Size

B)Land-to-building ratio     

Sale Price Size (millions (thousands Building Land-to- Property of dollars) of sq. ft.)Ratio 10.5 2.5 30.4 1.7 20.0 8.0 10.1 6.8 5.9 4.4 2166 751 2423 225 3916 2866 1698 1047 1107 406 1.9 2 3 4 6 7 8 9 10 3.5 4.8 1.7 2.4 3.1 4.8 7.7 17.1

Explanation / Answer

a. Calculate the value of the correlation coefficient between sale price and size

a.

r( X,Y) =    Co V ( X,Y) / S.D (X) * S.D (y)                  
r( X,Y) =    Sum(XY) / N- Mean of (X) * Mean of (Y) / Sqrt( X^2/n - ( Mean of X)^2 ) Sqrt( Y^2/n - ( Mean of Y)^2 )                    
                      
Co v ( X, Y ) =   1 /10 (232497.3) - [ 1/10 *100.3 ] [ 1/10 *16605] =            6594.915      
S. D ( X ) =   Sqrt( 1/10*1709.97-(1/10*100.3)^2)           8.39      
S .D (Y) =    Sqrt( 1/10*40095821-(1/10*16605)^2)           1119.072      
r(x,y) =    6594.915 / 8.39*1119.072   =   0.7024          

b.

r( X,Y) =    Co V ( X,Y) / S.D (X) * S.D (y)                  
r( X,Y) =    Sum(XY) / N- Mean of (X) * Mean of (Y) / Sqrt( X^2/n - ( Mean of X)^2 ) Sqrt( Y^2/n - ( Mean of Y)^2 )                    
                      
Co v ( X, Y ) =   1 /10 (381.33) - [ 1/10 *100.3 ] [ 1/10 *50.6] =            -12.619      
S. D ( X ) =   Sqrt( 1/10*1709.97-(1/10*100.3)^2)           8.39      
S .D (Y) =    Sqrt( 1/10*444.86-(1/10*50.6)^2)           4.345      
r(x,y) =    -12.619 / 8.39*4.345   =   -0.3462          

c.

A) Size, because it is positively skewwed

d.

Line of Regression Y on X i.e Y = bo + b1 X

Mean of X = X / n =    1660.5
Mean of Y = Y / n =   10.03
(Xi - Mean)^2 =   12523218.5
(Yi - Mean)^2 =   703.96
(Xi-Mean)*(Yi-Mean) =   65949.19
b1 = (Xi-Mean)*(Yi-Mean) / (Xi - Mean)^2    
b1 = 65949.19 / 12523218.5 = 0.0053  
bo = Y / n - b1 * X / n  
bo = 10.03 - 0.0053*1660.5 = 1.2856  
  
Y = bo + b1 X  
  
Y'=1.2856+0.0053*X  

( X) ( Y) X^2 Y^2 X*Y 10.5 2166 110.25 4691556 22743 2.5 751 6.25 564001 1877.5 30.4 2423 924.16 5870929 73659.2 1.7 225 2.89 50625 382.5 20 3916 400 15335056 78320 8 2866 64 8213956 22928 10.1 1698 102.01 2883204 17149.8 6.8 1047 46.24 1096209 7119.6 5.9 1107 34.81 1225449 6531.3 4.4 406 19.36 164836 1786.4 100.3 16605 1709.97 40095821 232497.3 Totals