title: How to interpret the results of linearHypothesis function when comparing regression coefficients?
body: <p>I used <code>linearHypothesis</code> function in order to test whether two regression coefficients are significantly different. Do you have any idea how to interpret these results?</p>
  <p>Here is my output:</p>
  <pre><code>linearHypothesis(fit4.beta, &quot;bfi2.e = bfi2.a&quot;)
  Linear hypothesis test
  
  Hypothesis:
  bfi2.e - bfi2.a = 0
  
  **Model 1:** restricted model&lt;br /&gt;
  **Model 2:** `mod.ipip.hexaco ~ bfi2.e + bfi2.n + bfi2.a + bfi2.o + bfi2.c`
  
      Res.Df    RSS Df Sum of Sq      F    Pr(&gt;F)    
      1    722 302.27                                  
      2    721 264.06  1    38.214 104.34 &lt; 2.2e-16 ***
      ---
      Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  </code></pre>