Page 134 - Basic Statistics

129

The composition of the combined models;

C1 C2 C3 X1 X2 X3
 1 0 0 163.5 0.0 0.0 
 
 1 0 0 180.0 0.0 0.0 
 1 0 0 178.5 0.0 0.0 
 
 1 0 0 161.5 0.0 0.0 
 1 0 0 127.0 0.0 0.0 
 
 1 0 0 161.0 0.0 0.0 
 1 0 0 165.0 0.0 0.0 
 
 1 0 0 144.0 0.0 0.0 
 
 0 1 0 0.0 141.0 0.0 
 0 1 0 0.0 162.0 0.0 
 
 0 1 0 0.0 134.0 0.0 
 0 1 0 0.0 121.0 0.0 
 
 0 1 0 0.0 145.0 0.0 
 0 1 0 0.0 106.0 0.0 
 
 0 1 0 0.0 134.0 0.0 
 0 1 0 0.0 216.5 0.0 
 
 Y 1   0 0 1 0.0 0.0 136.5   β 01   ε 1 
   0 0 1 0.0 0.0 142.5     
 Y 2     β 02   ε 2 
   0 0 1 0.0 0.0 145.0     
 Y 3   0 0 1 0.0 0.0 165.0   β 03   ε 3 

 .  =     + .  (G.33)

   0 0 1 0.0 0.0 226.0   β 1.1   
 .     β   . 
   0 0 1 0.0 0.0 122.0   1.2   
 .   0 0 1 0.0 0.0 193.0   β 1.3   . 
 Y       ε 
 16   0 0 1 0.0 0.0 163.5     16 
 
 0 0 1 0.0 0.0 154.0 
 0 0 1 0.0 0.0 139.0  


~~* CHAPTER 5 THE MULTIPLE LINEAR REGRESSION MODEL *~~