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  1. OLS Regression Results
  2. ==============================================================================
  3. Dep. Variable: CUSTOMER_PURCHASE R-squared: 0.041
  4. Model: OLS Adj. R-squared: 0.039
  5. Method: Least Squares F-statistic: 1.134e+06
  6. Date: Sat, 16 Nov 2019 Prob (F-statistic): 0.00
  7. Time: 14:07:49 Log-Likelihood: 6347.7
  8. No. Observations: 23588 AIC: -1.260e+04
  9. Df Residuals: 23541 BIC: -1.222e+04
  10. Df Model: 46
  11. Covariance Type: HAC
  12. =============================================================================================
  13. coef std err t P>|t| [0.025 0.975]
  14. ---------------------------------------------------------------------------------------------
  15. const -0.0277 0.009 -3.169 0.002 -0.045 -0.011
  16. OPEN_PAST_EMAILS 0.0019 0.003 0.642 0.521 -0.004 0.008
  17. 2 0.0005 0.000 0.968 0.333 -0.000 0.001
  18. 3 0.0005 0.001 1.032 0.302 -0.000 0.002
  19. 4 0.0092 0.007 1.310 0.190 -0.005 0.023
  20. 5 0.0013 0.002 0.705 0.481 -0.002 0.005
  21. 6 0.0067 0.003 1.990 0.047 0.000 0.013
  22. 7 0.0094 0.003 3.240 0.001 0.004 0.015
  23. 8 0.0189 0.004 4.619 0.000 0.011 0.027
  24. 9 0.0143 0.004 3.771 0.000 0.007 0.022
  25. 10 0.0262 0.003 9.058 0.000 0.021 0.032
  26. 11 0.0319 0.003 11.337 0.000 0.026 0.037
  27. 12 0.0479 0.004 12.085 0.000 0.040 0.056
  28. GROCERY 0.0292 0.009 3.345 0.001 0.012 0.046
  29. BULK 0.0298 0.012 2.515 0.012 0.007 0.053
  30. SEAFOOD 0.0060 0.009 0.647 0.517 -0.012 0.024
  31. BEER -0.0094 0.009 -1.087 0.277 -0.026 0.008
  32. BUTCHERY 0.0079 0.010 0.834 0.404 -0.011 0.027
  33. DAIRY 0.0288 0.010 2.884 0.004 0.009 0.048
  34. PRODUCE 0.1151 0.011 10.041 0.000 0.093 0.138
  35. DELICATESSEN 0.0230 0.010 2.262 0.024 0.003 0.043
  36. BAKERY 0.1652 0.071 2.329 0.020 0.026 0.304
  37. FROZEN 0.0042 0.010 0.435 0.664 -0.015 0.023
  38. MALE -0.0052 0.002 -2.092 0.036 -0.010 -0.000
  39. ADVERTISING_STRICT -0.0183 0.011 -1.601 0.109 -0.041 0.004
  40. OPEN_PAST_EMAILS_X_ADVERT 0.0056 0.007 0.771 0.441 -0.009 0.020
  41. GROCERY_x_ADV 0.0162 0.011 1.504 0.133 -0.005 0.037
  42. BULK_x_ADV 0.0184 0.040 0.457 0.647 -0.060 0.097
  43. SEAFOOD_x_ADV -0.0040 0.010 -0.400 0.689 -0.024 0.016
  44. BEER_x_ADV 0.1921 0.116 1.651 0.099 -0.036 0.420
  45. BUTCHERY_x_ADV -0.0019 0.012 -0.155 0.877 -0.025 0.022
  46. DAIRY_x_ADV -7.664e-05 0.016 -0.005 0.996 -0.032 0.032
  47. PRODUCE_x_ADV 0.0208 0.016 1.284 0.199 -0.011 0.053
  48. DELICATESSEN_x_ADV -0.0124 0.016 -0.792 0.428 -0.043 0.018
  49. BAKERY_x_ADV 0.8385 0.071 11.764 0.000 0.699 0.978
  50. FROZEN_x_ADV 0.0182 0.015 1.240 0.215 -0.011 0.047
  51. 2_x_ADV -0.0085 0.006 -1.454 0.146 -0.020 0.003
  52. 3_x_ADV -0.0012 0.001 -0.928 0.354 -0.004 0.001
  53. 4_x_ADV -0.0101 0.007 -1.412 0.158 -0.024 0.004
  54. 5_x_ADV 0.0100 0.013 0.748 0.454 -0.016 0.036
  55. 6_x_ADV 0.0011 0.009 0.120 0.904 -0.017 0.020
  56. 7_x_ADV 0.0161 0.012 1.381 0.167 -0.007 0.039
  57. 8_x_ADV 0.0018 0.010 0.185 0.853 -0.017 0.021
  58. 9_x_ADV 0.0068 0.012 0.569 0.569 -0.017 0.030
  59. 10_x_ADV 0.0091 0.008 1.207 0.227 -0.006 0.024
  60. 11_x_ADV 0.0146 0.008 1.811 0.070 -0.001 0.030
  61. 12_x_ADV -0.0056 0.010 -0.587 0.557 -0.024 0.013
  62. ==============================================================================
  63. Omnibus: 21359.233 Durbin-Watson: 1.949
  64. Prob(Omnibus): 0.000 Jarque-Bera (JB): 499548.758
  65. Skew: 4.623 Prob(JB): 0.00
  66. Kurtosis: 23.561 Cond. No. 226.
  67. ==============================================================================
  68.  
  69. Warnings:
  70. [1] Standard Errors are heteroscedasticity and autocorrelation robust (HAC) using 1 lags and without small sample correction
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