title: Linear Regression :: Normalization (Vs) Standardization
body: <p>I am using Linear regression to predict data. But, I am getting totally contrasting results when I Normalize (Vs) Standardize variables. </p>
  
  <p>Normalization               = x -xmin/ xmax – xmin
   
  Zero Score Standardization  = x - xmean/ xstd
   </p>
  
  <pre><code>a) Also, when to Normalize (Vs) Standardize ?
  b) How Normalization affects Linear Regression?
  c) Is it okay if I don't normalize all the attributes/lables in the linear regression?
  </code></pre>
  
  <p>Thanks,
  Santosh</p>