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 list of JSON including 'rank', 'goal', 'question' and 'why'. Here is the data in csv format:
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, NAME_6",female,2.0,1,2,113781,151.55,NAME_4 NAME_5,S,,,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_2, Mr. NAME_7 NAME_8",male,30.0,1,2,113781,151.55,NAME_4 NAME_5,S,,135.0,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_2, NAME_9 J NAME_10 (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