Question

I have a dataframe with these columns:

peo means people with cancer.I encode 'peo' collum to low and hight and the have values 0 for low and 1 for hight. Egg , meat_other, mutton_goat, beed, pig , poultry are numeric values of the consumption of these types of foods. I would like to answer this question on my analysis: If this type of foods have a relation with cancer.All my variables are numeric , less country that is the names of the countries. I want to do a linear regression and a logistic regression model with these variables. My question is:  which ones are dependent variables and which ones are independent variables. I want to use multiple variables in my model ( not binary). Thanks

Answer 1

dependent variable - whether people have cancer or not

independent variable - type of foods