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3 bytes removed ,  06:03, 21 January 2014
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*The equation for the standard error of the predicted <math> y </math> is:  
 
*The equation for the standard error of the predicted <math> y </math> is:  
 
<math>\sqrt{\frac{1}{(n-2)}\left [ \sum(y-\bar{y})^2-\frac{[\sum(x-\bar{x})(y-\bar{y})]^2}{\sum(x-\bar{x})^2} \right ]}</math>
 
<math>\sqrt{\frac{1}{(n-2)}\left [ \sum(y-\bar{y})^2-\frac{[\sum(x-\bar{x})(y-\bar{y})]^2}{\sum(x-\bar{x})^2} \right ]}</math>
,where x(bar) and y(bar) are the sample mean <math> x </math> and <math> y </math>.
+
where x(bar) and y(bar) are the sample mean <math> x </math> and <math> y </math>.
 
*In <math> STEYX(y,x), y </math> is the array of the numeric dependent values and <math> x </math> is the array of the independent values.   
 
*In <math> STEYX(y,x), y </math> is the array of the numeric dependent values and <math> x </math> is the array of the independent values.   
 
*The arguments can be be either numbers or names, array,constants or references that contain numbers.  
 
*The arguments can be be either numbers or names, array,constants or references that contain numbers.  
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   2. x and y are empty or that have less than three data points.
 
   2. x and y are empty or that have less than three data points.
 
   3. x and y have a different number of data points.
 
   3. x and y have a different number of data points.
      
==Examples==
 
==Examples==
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