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             Example In a partially destroyed laboratory 
              record of an analysis of correlation data, the following results 
              are legible: 
		Variance of  x  =  9 
		Regression equations :  8 x - 10 y + 66  =  6 
 
                     					40 x - 18 y = 214
                
 What are (1) Means of x’s  and y’s  (2) the coefficient of correlation between x  and  y  (3)  the standard deviation of y ? 
             
             Solution: 
            -  
              
		Means: 
              	 
              		 8 x - 10 y = -66 ----- (1) 
               
               		40 x - 18 y = 214 ----- (2) 
               
               		Solving (1) and (2) as 
               
               		40 x - 50 y = -330 ----- (1) 
               
               		40 x - 18 y = 214 ----- (2) 
               
               		 -32 y = -544 
               
               			 y = 17 
               
               		\  Mean of 
                y’s   
                17 
               
               		Substituting y = 17 in (1) we get 8x 
                - 10 ´ 17 = -66 
               
               		or 8x = 104		\ 
                x = 13 
               
               		\ Mean of 
                x’s   
                = 13  
             - 
		Coefficient of correlation between  x  and  y 
 		40 x  =  18 y  +  214 
              
      
  
 
 		Also  -10 y  =  - 8 x  -  66 
 			  
       
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             Index 
              6. 1 Introduction 
               
              6. 2 Correlation  
              6. 3 Types of Correlation  
               6. 4 Degrees of Correlation 
              6. 5 Methods of determining correlation 
               
              6. 6 Coefficients of Correlation for Bivariate 
              Grouped Data  
               6. 7 Probable Error  
              6. 8 Rank Correlation Coefficient  
              6. 9 Linear Regression   
            
            Chapter 7  
      
  
  
  
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