Answer Happy

A publisher has a new title, The Art History of Florence. It tries to decide to which customers it should promote this book. It ran a test direct mail campaign with a random sample of 4,000 customers from its CRM system. The data contains results from the test campaign (bought_art_history_of_florence) CRM system. and a few variables stored in the a) Build a logistic regression model to predict the probability of a customer buying the new book. b) In plain English, explain what you learned from your estimated model. c) For a female customer, months_since_first_purchase = 20, months_since_last_purchase = 12, number_of_past_purchases = 2, and spend_on_past_purchases = 208, what is the probability of her buying the new book according to your model? 65 Points
A D E F 1 SUMMARY OUTPUT 3 Regression Statistics Multiple R 0.1006637 5 R Square 0.01013318 5 Adjusted R Sq 0.00914208 Standard Erro 0.27689653 3 Observations 4000 9 0 ANOVA 1 df SS MS F Significance F 3.1029E-08 2 Regression 4 3.13560133 0.78390033 10.2241171 3 Residual 3995 306.303399 0.07667169 4 Total 3999 309.439 5 6 P-value Lower 95% Coefficients Standard Error t Stat Upper 95% Lower 95.0% Upper 95.0% 0.08808107 0.0127066 6.93191637 4.8201E-12 0.06316905 0.1129931 0.06316905 0.1129931 7 Intercept 8 months since -0.0005848 0.00072505 -0.8065055 0.41999943 -0.0020063 0.00083675 -0.0020063 0.00083675 0.00091031 -1.6079148 0.10793287 -0.0032484 0.00032101 -0.0032484 0.00032101 9 months since -0.0014637 0 number_of_p: 0.00928878 0.00349944 2.65436135 0.00797737 0.00242792 0.01614964 0.00242792 0.01614964 1 spend_on_pas -1.964E-05 5.0415E-05 -0.3896051 0.69684932 -0.0001185 7.9199E-05 -0.0001185 7.9199E-05 2 3 4 5 6 7 8 9 B G H