I am doing a multiple linear regression on a dataset. It is test scores. It has three highly correlated variables being income, reading score, and math score. Obviously since the test score is the sum of the math score and reading score would it be appropriate to exclude them simply based off that. Obvious two of the three must be removed due to multi-collinearity. Reading score has the highest correlation to test score and math is close. Income is only .85.