In the data cleaning process, I've checked that there's 201 NA values in the data set, how will you handle those?
For the 1st research question: how will you model this scenario, what will be the response variable, is it 'wealth.how.was.founder'? Also, think about the time range. Do you plan to include all the observations from 1996 all to 2014 or just focus on a subset of it?
2nd research question: think about how will you verify your hypothesized relationship between net worth and other factors and
at the same time make sure the result is not statistically biased?
In the data cleaning process, I've checked that there's 201 NA values in the data set, how will you handle those?
For the 1st research question: how will you model this scenario, what will be the response variable, is it 'wealth.how.was.founder'? Also, think about the time range. Do you plan to include all the observations from 1996 all to 2014 or just focus on a subset of it?
2nd research question: think about how will you verify your hypothesized relationship between net worth and other factors and at the same time make sure the result is not statistically biased?