OLS Regression Results
Dep. Variable:	TXCHOM	R-squared:	0.991
Model:	OLS	Adj. R-squared:	0.979
Method:	Least Squares	F-statistic:	80.88
Date:	Fri, 08 Jan 2021	Prob (F-statistic):	2.86e-06
Time:	10:32:10	Log-Likelihood:	19.418
No. Observations:	18	AIC:	-16.84
Df Residuals:	7	BIC:	-7.042
Df Model:	10
Covariance Type:	nonrobust

	coef	std err	t	P>\|t\|	[0.025	0.975]
const	19.0673	12.125	1.573	0.160	-9.603	47.738
REV_MEDIAN	-1.6173	0.517	-3.131	0.017	-2.839	-0.396
TX_INFL	-0.2864	0.094	-3.035	0.019	-0.510	-0.063
TXCDD_EMBAUCHE	0.0984	0.083	1.179	0.277	-0.099	0.296
TXTPART_EMPBIT	-0.3112	0.358	-0.870	0.413	-1.157	0.534
GINI	-0.0680	0.120	-0.569	0.587	-0.351	0.215
PROD_HW_I15	0.1105	0.034	3.210	0.015	0.029	0.192
BALANCE_BS	-0.0197	0.009	-2.255	0.059	-0.040	0.001
DEP_GEN_PTPIB	-1.2316	0.318	-3.874	0.006	-1.983	-0.480
DEP_CIB_PTPIB	0.1748	0.444	0.394	0.705	-0.874	1.224
SAL_HW_I15	0.1574	0.097	1.629	0.147	-0.071	0.386

Omnibus:	0.768	Durbin-Watson:	2.734
Prob(Omnibus):	0.681	Jarque-Bera (JB):	0.586
Skew:	0.403	Prob(JB):	0.746
Kurtosis:	2.638	Cond. No.	6.26e+04

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 6.26e+04. This might indicate that there are
strong multicollinearity or other numerical problems.