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a guest Feb 22nd, 2019 53 Never
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  1. Year     Location      Country    Age                Injury Survived Time
  2. 0  2016     chittwan      Nepal      09         attack on head     0    11h00
  3. 1  2016      siberia      Russia     19            Neck Injury     0    13h00
  4. 2  2016    Oba Hills      Nigeria    23              lower leg     1    04h43
  5. 3  2016     Edumanom      Nigeria    65             leg injury     0    11h00
  6. 4  2016        Kanha      India      NaN  attacked from behind     1    18h00
  7. 5  2016     Edumanom      Nigeria    09         attack on head     0    19h00
  8. 6  2016  Ranthambore      India      39            Neck Injury     0    11h00
  9. 7  2016     chittwan      Nepal      13   attacked from behind     1    09h12
  10. 8  2016     Edumanom      Nigeria    NaN            leg injury     1    11h00
  11. 9  2016        Bikin      Russia     NaN            leg injury     1    13h00
  12.      
  13. library(MASS) # Load the MASS library, which contains the glm function
  14.  
  15. model = glm(Survived ~ Location + Country + Injury + Time) # Define a model of whether the victim survived, predicting on location, country, injury and time of attack
  16.  
  17. summary(model) # View the model coefficients to interpret the model
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