linear regression(real, estimate):
attribute	coeff.	std. error	std. coeff.	t-statistic	p-value
estimate	-1.134	0.199		-0.035		-5.703		0.000
intercept	1.467	0.139		NaN		10.561		0.000

correlation(real, estimate):				RMSE_random	RMSE_real
-0.344							0.373		0.078

random	real	estimate	SE_random	SE_real
0.537	0.712	0.675		0.019		0.001
0.016	0.615	0.700		0.468		0.007
0.652	0.731	0.706		0.003		0.001
0.097	0.712	0.694		0.356		0.000
0.915	0.731	0.694		0.049		0.001
0.472	0.654	0.688		0.046		0.001
0.259	0.712	0.669		0.168		0.002
0.230	0.731	0.663		0.187		0.005
0.174	0.615	0.731		0.310		0.013
0.602	0.750	0.675		0.005		0.006
0.112	0.673	0.638		0.277		0.001
0.917	0.615	0.669		0.062		0.003
0.213	0.692	0.700		0.237		0.000
0.316	0.596	0.713		0.158		0.014
0.191	0.750	0.688		0.246		0.004
0.799	0.769	0.706		0.009		0.004
0.292	0.769	0.669		0.142		0.010
0.626	0.808	0.688		0.004		0.014
0.261	0.731	0.650		0.151		0.007
0.946	0.538	0.731		0.046		0.037
0.800	0.712	0.669		0.017		0.002
0.071	0.673	0.694		0.387		0.000
0.902	0.673	0.694		0.043		0.000
0.760	0.788	0.688		0.005		0.010
0.731	0.750	0.663		0.005		0.008
0.499	0.635	0.694		0.038		0.003
0.235	0.596	0.669		0.188		0.005
0.472	0.712	0.675		0.041		0.001
0.954	0.692	0.694		0.068		0.000
0.021	0.538	0.688		0.444		0.022