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Oct 22nd, 2014
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  1. lm(formula = y ~ x1 + x2, data = sub.pyth)
  2. coef.est coef.se
  3. (Intercept) 1.32 0.39
  4. x1 0.51 0.05
  5. x2 0.81 0.02
  6.  
  7. n = 40, k = 3
  8. residual sd = 0.90, R-Squared = 0.97
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