anchor.diff:  
   
   ## Aggregations
  -The aggregations estimate the linear regression coefficients
  +Both aggregations are numeric aggregations that estimate the linear regression coefficients
   image:http://latex.codecogs.com/gif.latex?\theta_0,%20\theta_1,%20\theta_2,.%20.%20.,%20\theta_C%20[]
   based on document results of a search query. Each search result
   document is handled as an observation and the numerical fields as variables (explanatory and response)
  
positive.code: 
  === Linear Regression Stats
  
  The `linreg_stats` aggregation is a numeric aggregation that computes statistics for the estimated
  linear regression model over a set of document fields standing for the response and the explanatory variables.
  
  [horizontal]
  `rss`:: Residual sum of squares as a measure of the discrepancy between the data and the estimated model.
  
negative.code: `mse`:: Mean squared error or rather `rss` divided by the number of documents consumed for model estimation.
  `coefficients`:: Slope coefficients
    image:http://latex.codecogs.com/gif.latex?\theta_1,%20\theta_2,%20\theta_3,.%20.%20.,%20\theta_C%20[]
      of the linear linear hypothesis function ``h(x)``.
  `intercept`:: Intercept coefficient image:http://latex.codecogs.com/gif.latex?\theta_0%20[]
                   of the linear hypothesis function ``h(x)``.
  
  
  ## Installation
  