--- a/js/flotr2/examples/js/examples/negative-values.js
+++ b/js/flotr2/examples/js/examples/negative-values.js
@@ -1,1 +1,65 @@
+(function () {
 
+Flotr.ExampleList.add({
+  key : 'negative-values',
+  name : 'Negative Values',
+  callback : negative_values
+});
+
+function negative_values (container) {
+
+  var
+    d0    = [], // Line through y = 0
+    d1    = [], // Random data presented as a scatter plot. 
+    d2    = [], // A regression line for the scatter. 
+    sx    = 0,
+    sy    = 0,
+    sxy   = 0,
+    sxsq  = 0,
+    xmean,
+    ymean,
+    alpha,
+    beta,
+    n, x, y;
+
+  for (n = 0; n < 20; n++){
+
+    x = n;
+    y = x + Math.random()*8 - 15;
+
+    d0.push([x, 0]);
+    d1.push([x, y]);
+
+    // Computations used for regression line
+    sx += x;
+    sy += y;
+    sxy += x*y;
+    sxsq += Math.pow(x,2);
+  }
+
+  xmean = sx/n;
+  ymean = sy/n;
+  beta  = ((n*sxy) - (sx*sy))/((n*sxsq)-(Math.pow(sx,2)));
+  alpha = ymean - (beta * xmean);
+  
+  // Compute the regression line.
+  for (n = 0; n < 20; n++){
+    d2.push([n, alpha + beta*n])
+  }     
+
+  // Draw the graph
+  graph = Flotr.draw(
+    container, [ 
+      { data : d0, shadowSize : 0, color : '#545454' }, // Horizontal
+      { data : d1, label : 'y = x + (Math.random() * 8) - 15', points : { show : true } },  // Scatter
+      { data : d2, label : 'y = ' + alpha.toFixed(2) + ' + ' + beta.toFixed(2) + '*x' }  // Regression
+    ],
+    {
+      legend : { position : 'se', backgroundColor : '#D2E8FF' },
+      title : 'Negative Values'
+    }
+  );
+};
+
+})();
+