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*The standard error for this line provides a measure of the error in the prediction of <math> KnownYs </math> for an individual <math> KnownXs </math>.  
 
*The standard error for this line provides a measure of the error in the prediction of <math> KnownYs </math> for an individual <math> KnownXs </math>.  
 
*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 <math>\bar{x}</math> and <math>\bar{y}</math> are the sample mean <math> x </math> and <math> y </math>.
 
where <math>\bar{x}</math> and <math>\bar{y}</math> are the sample mean <math> x </math> and <math> y </math>.
 
*In <math>STEYX (KnownYs,KnownXs)</math>, <math>KnownYs </math> is the array of the numeric dependent values and <math> KnownXs </math> is the array of the independent values.   
 
*In <math>STEYX (KnownYs,KnownXs)</math>, <math>KnownYs </math> is the array of the numeric dependent values and <math> KnownXs </math> is the array of the independent values.   
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