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                 Tumadre2 
                 
                
                Italy 
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                       Posted - 09/23/2016 :  10:16:11 AM
                        
                        
                        
                        
                        
                      
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                      |  Hello everyone. I'm kind of new to the program, and I need help about a question. I have two 27x1 arrays of data, and I did linear fitting of them through Analysis>Fitting>Linear Fit. Now, the result is the images you'll find in the zipped file. I can't understand why in the first image it says that the intercept value is 99.26494 while in the second image,that one of the scatter, it's possible to observe a clear intercept at almost 40. Could somebody help me, explaing why does this happen? Thanks to everyone!http://www.originlab.com/ftp/forum_and_kbase/Images/Fit_Images.zip | 
                     
                   
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                 Hideo Fujii 
                 
                
                USA 
                1582 Posts  | 
                
                  
                    
                      
                       Posted - 09/23/2016 :  3:26:41 PM
                        
                        
                        
                        
                        
                      
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                       Hi Tumadre2,
  The intercept is in definition the Y value at X=0 in the linear regression. If you want to visualize this,  in the Linear Fit tool, you can set the Range to "Custom", and set Min value to 0 under "X Data Type"  option branch under the "Fitted Curves Plot" tab. 
  --Hideo Fujii OriginLab
  P.S. Your result r=-0.28 indicates that the correlation is weak; especially in your case, X=0 is  quite out of your data range. Turn ON the "Confidence Bands" check box, then you will see  how unreliable your intercept value 99.26... is. | 
                     
                    
                       Edited by - Hideo Fujii on 09/23/2016  4:09:46 PM | 
                     
                    
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