OLS Regression Results
==============================================================================
Dep. Variable:      CUSTOMER_PURCHASE   R-squared:                       0.135
Model:                            OLS   Adj. R-squared:                  0.132
Method:                 Least Squares   F-statistic:                     14.78
Date:                Sat, 16 Nov 2019   Prob (F-statistic):          1.16e-100
Time:                        14:09:37   Log-Likelihood:                 1908.9
No. Observations:               10370   AIC:                            -3732.
Df Residuals:                   10327   BIC:                            -3420.
Df Model:                          42
Covariance Type:                  HAC
=============================================================================================
                                coef    std err          t      P>|t|      [0.025      0.975]
---------------------------------------------------------------------------------------------
const                        -0.0158      0.006     -2.765      0.006      -0.027      -0.005
OPEN_PAST_EMAILS             -0.0023      0.004     -0.560      0.575      -0.010       0.006
2                             0.0045      0.005      0.889      0.374      -0.005       0.014
3                             0.0037      0.005      0.743      0.458      -0.006       0.014
4                             0.0058      0.005      1.077      0.282      -0.005       0.016
5                             0.0038      0.005      0.816      0.415      -0.005       0.013
6                             0.0005      0.006      0.090      0.929      -0.011       0.013
7                            -0.0010      0.005     -0.194      0.846      -0.012       0.010
8                             0.0055      0.005      1.210      0.226      -0.003       0.014
9                            -0.0037      0.005     -0.698      0.485      -0.014       0.007
10                            0.0042      0.005      0.779      0.436      -0.006       0.015
11                            0.0216      0.006      3.904      0.000       0.011       0.033
12                            0.0352      0.006      5.906      0.000       0.024       0.047
GROCERY                       0.0173      0.003      5.328      0.000       0.011       0.024
SEAFOOD                      -0.0015      0.003     -0.536      0.592      -0.007       0.004
BEER                          0.0044      0.003      1.589      0.112      -0.001       0.010
BUTCHERY                      0.0005      0.005      0.103      0.918      -0.009       0.010
DAIRY                         0.0138      0.007      1.844      0.065      -0.001       0.029
PRODUCE                       0.2273      0.014     16.262      0.000       0.200       0.255
DELICATESSEN                  0.0194      0.007      2.960      0.003       0.007       0.032
BAKERY                        0.0266      0.033      0.816      0.414      -0.037       0.090
FROZEN                        0.0448      0.027      1.653      0.098      -0.008       0.098
MALE                         -0.0078      0.004     -1.828      0.068      -0.016       0.001
ADVERTISING_STRICT           -0.0091      0.013     -0.676      0.499      -0.036       0.017
OPEN_PAST_EMAILS_X_ADVERT    -0.0004      0.013     -0.034      0.973      -0.026       0.025
GROCERY_x_ADV                 0.0122      0.007      1.793      0.073      -0.001       0.026
SEAFOOD_x_ADV                 0.0138      0.011      1.285      0.199      -0.007       0.035
BEER_x_ADV                    0.0066      0.005      1.306      0.192      -0.003       0.017
BUTCHERY_x_ADV                0.0067      0.007      1.016      0.310      -0.006       0.020
DAIRY_x_ADV                  -0.0083      0.011     -0.763      0.445      -0.030       0.013
PRODUCE_x_ADV             -7.044e-05      0.022     -0.003      0.997      -0.043       0.043
DELICATESSEN_x_ADV           -0.0088      0.008     -1.094      0.274      -0.025       0.007
BAKERY_x_ADV                 -0.0199      0.035     -0.567      0.571      -0.089       0.049
FROZEN_x_ADV                 -0.0426      0.027     -1.559      0.119      -0.096       0.011
2_x_ADV                      -0.0064      0.006     -1.063      0.288      -0.018       0.005
3_x_ADV                    6.577e-17    5.1e-17      1.289      0.197   -3.42e-17    1.66e-16
4_x_ADV                   -1.441e-17    1.6e-17     -0.898      0.369   -4.59e-17     1.7e-17
5_x_ADV                      -0.0291      0.027     -1.079      0.281      -0.082       0.024
6_x_ADV                       0.1245      0.119      1.047      0.295      -0.109       0.358
7_x_ADV                       0.0057      0.007      0.791      0.429      -0.008       0.020
8_x_ADV                      -0.0087      0.010     -0.913      0.361      -0.027       0.010
9_x_ADV                      -0.0081      0.011     -0.735      0.463      -0.030       0.014
10_x_ADV                     -0.0105      0.009     -1.133      0.257      -0.029       0.008
11_x_ADV                      0.0095      0.010      0.942      0.346      -0.010       0.029
12_x_ADV                      0.0050      0.013      0.394      0.694      -0.020       0.030
==============================================================================
Omnibus:                     7146.825   Durbin-Watson:                   1.952
Prob(Omnibus):                  0.000   Jarque-Bera (JB):            82351.605
Skew:                           3.314   Prob(JB):                         0.00
Kurtosis:                      15.110   Cond. No.                     1.43e+16
==============================================================================

Warnings:
[1] Standard Errors are heteroscedasticity and autocorrelation robust (HAC) using 1 lags and without small sample correction
[2] The smallest eigenvalue is 1.04e-28. This might indicate that there are
strong multicollinearity problems or that the design matrix is singular.