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I have a dataset of 540 observation like this:
| age | ||
|---|---|---|
| 1 | 0 | 23 |
| 1 | 1 | 34 |
1 a 0 are Yes/no, answers to the question: 'how do you find out about this survey?'
Can I measure correlation between various methods and Age? In order to prove that: smaller is the age, more people used facebook to find out the survey.
I tried to use a linear regression but it doesn't fit well.
I have to use logistic regression with age as dependent and others as independent?
I am going to challenge your question a little bit. When we do things like correlation or regression, it is usually because we have a sample of data and we want to use it to learn something about the whole population outside of the sample.
But in your case, the population outside of the sample would be "people who did not take the survey". Does it make sense to ask how people who didn't take the survey, found out about the survey?
If you are interested in the relationship between age and how they found out about the survey only for the people who took the survey, you have all the data already so you don't need to do correlation or regression. You can calculate the exact breakdown between groups for each age, or show the exact distribution of ages for each group - whichever makes more sense for your research.
