I have a sample dataset like:

```
name<-c("Bob","JACK","Steve","Daniel","Ed")
ans1<-c("5","4","4","1","4")
ans2<-c("4","4","4","2","3")
ans3<-c("4","3","4","2","5")
hours<-c(200,100,150,10,500)
datat<-data.frame(name,ans1,ans2,ans3,hours)
```

As you can see in this dataset there are 5 students and their answers to 3 questions in a scale from 1 to 5. You can also see the hours that these students spent on preparing for these "condidence" tests. I am not sure what kind of analysis should I perform in R on this dataframe as it seems to me that ans1,ans,ans3 are correlated since they come from the same student. What model would make sense?

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