I would like to measure (and test significance) the effect of a variable on another controlling for various factors. I would have 3 questions if possible:
1) As I understand, if there is a more or less linear relationship between the dependent and predictors a multiple regression would be the best and most powerful. Isn't it?
2) What other models can I use besides regression? Machine Learning? Which ones would be the bests?
Also, I need to run the model in different country, with different cultures obviously.
3) Should I use same model across all countries (not sure country comparison would be necessary) or a model country specific? What are the advantages vs drawbacks?
Many thanks in advance for your responses.
1) As I understand, if there is a more or less linear relationship between the dependent and predictors a multiple regression would be the best and most powerful. Isn't it?
2) What other models can I use besides regression? Machine Learning? Which ones would be the bests?
Also, I need to run the model in different country, with different cultures obviously.
3) Should I use same model across all countries (not sure country comparison would be necessary) or a model country specific? What are the advantages vs drawbacks?
Many thanks in advance for your responses.