Suggest good research questions based on the Titanic passenger dataset that are related to one of these goals: ['cox regression', 'logistic regression', 'linear regression']. Respond with a JSON including 'rank', 'goal', 'question' and 'why'.
Data in csv format:
pclass,survived,name,sex,age,sibsp,parch,ticket,fare,cabin,embarked,boat,body,home.dest
1,1,"NAME_1, Miss. Elisabeth NAME_2",female,29.0,0,0,24160,211.3375,B5,S,2,,"St Louis, MO"
1,1,"NAME_3, Master. NAME_4",male,0.9167,1,2,113781,151.55,NAME_5 NAME_6,S,11,,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_7",female,2.0,1,2,113781,151.55,NAME_5 NAME_6,S,,,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_3, Mr. NAME_8 NAME_9",male,30.0,1,2,113781,151.55,NAME_5 NAME_6,S,,135.0,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_3, NAME_10 J NAME_11 (NAME_12 NAME_13)",female,25.0,1,2,113781,151.55,NAME_5 NAME_6,S,,,"Montreal, PQ / Chesterville, ON"
(5 rows out of 1309)
Ensure the response can be parsed by Python json.loads Write exactly 6 paragraphs each separated with two new lines answering this question. The last paragraph must start with "identity".
user