Combined Dependent Variable Interpretation

I am running a regression model with a dependent variable called "pollution" which is based on an average of five variables. How should I go about interpreting results and the coefficients from my regression model?
I have two independent variables in my regression model that are both very significant.

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The regression coefficient of X is the expected increase in the dependent variable for a 1-unit increase in X with all other independent variables in the model held constant.
So the dependent variable is a composite variable. Why average values and not use them all?
I don't think I know what you are referring to? Should I average the values of each variable before averaging them together in the dependent variable?


Less is more. Stay pure. Stay poor.
My question was just related to what actually is your dependent variable? Can you explicitly state its structure and formulation. Thank you.