How to approach this data set for linear regression?
So in the first approach you want to manually choose some features that seem more important?

If so, I think you might not be able to accurately diagnose the most important features, I think it is better to first choose the most impactful features using an algorithm like backward-elimination, etc to figure out what are the most important features, then ignore the less important columns and split the dataset to training and test error.