title: Difference Between Actual Values and Residual Values JMP
body: <p>I'm trying to create a predictive model based on a sample dataset given of body fat percentages. The data is split 80% train and 20% test. The response variable is &quot;Body Fat Percentage&quot;. I'm trying to understand what does the residual body fat percentage values represent in JMP.</p>
  <p>Basically the test set has null values under body fat percentage which I need to predict. Do the residuals represent something? Can anyone help me understand what the highlighted columns in the screenshots below represent? Or is there a better approach within JMP to get these predictive values?</p>
  <p><a href="https://i.stack.imgur.com/Jlqw4.png" rel="nofollow noreferrer">enter image description here</a></p>
  <p><a href="https://i.stack.imgur.com/xvyPR.png" rel="nofollow noreferrer">enter image description here</a></p>