Demo entry 6761392

Regression output

   

Submitted by G on Sep 26, 2018 at 12:54
Language: Python. Code size: 5.7 kB.

                           OLS Regression Results                            
==============================================================================
Dep. Variable:                region1   R-squared:                       0.825
Model:                            OLS   Adj. R-squared:                  0.820
Method:                 Least Squares   F-statistic:                     164.0
Date:                Thu, 05 Jul 2018   Prob (F-statistic):               0.00
Time:                        16:28:24   Log-Likelihood:                -2778.3
No. Observations:                1500   AIC:                             5643.
Df Residuals:                    1457   BIC:                             5871.
Df Model:                          42                                         
Covariance Type:            nonrobust                                         
====================================================================================
                       coef    std err          t      P>|t|      [0.025      0.975]
------------------------------------------------------------------------------------
Intercept         -834.3765     90.046     -9.266      0.000   -1011.010    -657.743
stimulus            -0.2285      0.048     -4.786      0.000      -0.322      -0.135
I(stimulus ** 2)     0.0076      0.002      4.441      0.000       0.004       0.011
response            -0.0560      0.080     -0.697      0.486      -0.214       0.102
I(response ** 2)    -0.0107      0.003     -3.168      0.002      -0.017      -0.004
region16            -0.8584      1.330     -0.645      0.519      -3.468       1.751
I(region16 ** 2)     0.0035      0.005      0.737      0.462      -0.006       0.013
region10             4.4483      0.694      6.409      0.000       3.087       5.810
I(region10 ** 2)    -0.0152      0.003     -6.030      0.000      -0.020      -0.010
region17            -0.4595      0.276     -1.665      0.096      -1.001       0.082
I(region17 ** 2)     0.0014      0.001      1.781      0.075      -0.000       0.003
region6             -0.3787      1.194     -0.317      0.751      -2.721       1.964
I(region6 ** 2)      0.0015      0.004      0.363      0.717      -0.007       0.010
region15            10.6685      2.208      4.833      0.000       6.338      14.999
I(region15 ** 2)    -0.0369      0.008     -4.537      0.000      -0.053      -0.021
region11            10.9189      1.371      7.964      0.000       8.230      13.608
I(region11 ** 2)    -0.0387      0.005     -7.649      0.000      -0.049      -0.029
region19            -1.0367      0.402     -2.582      0.010      -1.824      -0.249
I(region19 ** 2)     0.0033      0.001      2.555      0.011       0.001       0.006
region20             0.6315      0.781      0.808      0.419      -0.901       2.164
I(region20 ** 2)    -0.0029      0.003     -1.038      0.299      -0.008       0.003
region18            -1.5644      1.453     -1.077      0.282      -4.414       1.285
I(region18 ** 2)     0.0045      0.005      0.924      0.356      -0.005       0.014
region9             10.0804      2.939      3.430      0.001       4.315      15.846
I(region9 ** 2)     -0.0388      0.012     -3.335      0.001      -0.062      -0.016
region13             3.6955      1.261      2.930      0.003       1.221       6.169
I(region13 ** 2)    -0.0137      0.005     -3.015      0.003      -0.023      -0.005
region5              1.7010      2.749      0.619      0.536      -3.691       7.093
I(region5 ** 2)     -0.0070      0.010     -0.677      0.499      -0.027       0.013
region7              0.4896      0.240      2.037      0.042       0.018       0.961
I(region7 ** 2)     -0.0013      0.001     -1.830      0.067      -0.003    9.71e-05
region3             -6.2022      0.926     -6.700      0.000      -8.018      -4.386
I(region3 ** 2)      0.0233      0.003      6.673      0.000       0.016       0.030
region8             -0.5089      0.434     -1.173      0.241      -1.360       0.342
I(region8 ** 2)      0.0011      0.001      0.838      0.402      -0.001       0.004
region4              1.7504      0.855      2.046      0.041       0.072       3.429
I(region4 ** 2)     -0.0062      0.003     -1.987      0.047      -0.012   -7.91e-05
region2              0.5644      2.201      0.256      0.798      -3.752       4.881
I(region2 ** 2)     -0.0006      0.008     -0.078      0.938      -0.017       0.015
region12            -0.1671      0.730     -0.229      0.819      -1.599       1.265
I(region12 ** 2)     0.0004      0.002      0.161      0.872      -0.004       0.005
region14             5.1549      1.725      2.988      0.003       1.771       8.539
I(region14 ** 2)    -0.0205      0.007     -3.003      0.003      -0.034      -0.007
const             -834.3765     90.046     -9.266      0.000   -1011.010    -657.743
I(const ** 2)     -834.3765     90.046     -9.266      0.000   -1011.010    -657.743
==============================================================================
Omnibus:                       27.981   Durbin-Watson:                   0.675
Prob(Omnibus):                  0.000   Jarque-Bera (JB):               36.068
Skew:                           0.234   Prob(JB):                     1.47e-08
Kurtosis:                       3.598   Cond. No.                     1.00e+16
==============================================================================
Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The smallest eigenvalue is 1.1e-19. This might indicate that there are
strong multicollinearity problems or that the design matrix is singular. 

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