title: Why does my model exactly follow the trend of only one input out of several?
body: <p>I am a student studying deep learning. This time, I am making a deep learning model in a certain project.
  This model is a regression model that takes several properties as input.
  After checking the model's training and testing values, I found that this model only follows the trend of one particular input attribute.
  Of course, not every time, but most of the time.
  I analyzed and calculated the correlation value between each input value and the label value.
  This input has a significantly higher correlation with the label compared to other input values.</p>
  <ol>
  <li>Is this case normal?</li>
  <li>Is it the right way to check by doing a correlation calculation(Each Input-Label)?</li>
  <li>How can I reduce the impact of certain input properties?</li>
  </ol>
  <p>I apologize for asking these questions due to my poor English skills and insufficient study.
  Thank you.</p>