Suggest 5 good research questions based on the Titanic passenger dataset chosing for each question the most accurate goal: ['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,"Allen, Miss. Elisabeth NAME_1",female,29.0,0,0,24160,211.3375,B5,S,2,,"St Louis, MO"
1,1,"NAME_2, Master. NAME_3",male,0.9167,1,2,113781,151.55,NAME_4 NAME_5,S,11,,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_2, Miss. NAME_6 NAME_7",female,2.0,1,2,113781,151.55,NAME_4 NAME_5,S,,,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_2, Mr. NAME_8 NAME_9",male,30.0,1,2,113781,151.55,NAME_4 NAME_5,S,,135.0,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_2, NAME_10 J NAME_11 (NAME_12)",female,25.0,1,2,113781,151.55,NAME_4 NAME_5,S,,,"Montreal, PQ / Chesterville, ON"
(5 rows out of 1309)
Ensure the response can be parsed by Python json.loads Respond with at most 700 words.
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