[1] "Quantiles:"
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  9.393  10.390  10.800  10.790  11.180  14.260 
[1] "Mean absolute deviation:"
[1] 0.5831714
[1] "Mean squared deviation:"
[1] 0.3321313
[1] "Variance:"
[1] 0.3321764
[1] "Standard deviation:"
[1] 0.5763475
[1] "Coefficient of Variation:"
[1] 0.0534181
[1] "Pearson's Coefficient of Variation:"
[1] 45.75035
[1] "Skewness:"
[1] 0.2944641

Call:
lm(formula = y1 ~ 0 + X)

Residuals:
      Min        1Q    Median        3Q       Max 
-0.163617 -0.029308 -0.005504  0.022572  0.411490 

Coefficients:
    Estimate Std. Error t value            Pr(>|t|)    
X1 -0.308472   0.023545  -13.10 <0.0000000000000002 ***
X2  2.118773   0.128417   16.50 <0.0000000000000002 ***
X3  2.158251   0.128746   16.76 <0.0000000000000002 ***
X4  2.183161   0.128901   16.94 <0.0000000000000002 ***
X5  2.163084   0.128781   16.80 <0.0000000000000002 ***
X6  0.011060   0.001076   10.28 <0.0000000000000002 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 0.04748 on 7351 degrees of freedom
Multiple R-squared: 0.8803,	Adjusted R-squared: 0.8802 
F-statistic:  9009 on 6 and 7351 DF,  p-value: < 0.00000000000000022 


Call:
lm(formula = y2 ~ 0 + X)

Residuals:
      Min        1Q    Median        3Q       Max 
-0.048927 -0.019857 -0.006658  0.012524  0.272792 

Coefficients:
     Estimate Std. Error t value Pr(>|t|)  
X1  0.0185699  0.0144746   1.283   0.1996  
X2 -0.0405774  0.0789451  -0.514   0.6073  
X3 -0.0359933  0.0791471  -0.455   0.6493  
X4 -0.0247153  0.0792428  -0.312   0.7551  
X5 -0.0254484  0.0791690  -0.321   0.7479  
X6 -0.0010992  0.0006612  -1.662   0.0965 .
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 0.02919 on 7351 degrees of freedom
Multiple R-squared: 0.6643,	Adjusted R-squared: 0.664 
F-statistic:  2424 on 6 and 7351 DF,  p-value: < 0.00000000000000022