R-squared or adjusted R-squared?

[jrhoworth]

I am comparing a number of regression models with different dependent variables but the same number of independent variables. Is it necessary to use the adjusted R-squared value to measure the percent of variance explained? Or is it okay to use the R-squared value as the number of predictors isn't changing?

[Alfonso Sánchez-Peñalver]

Why would you want to compare them if they are not comparable? Please explain a little more of what the different models are, but here is my confusion: why would I want to compare how well the data explains the expected value of income with how well it explains the expected distance traveled in a year, or how well it explains spending? I would want to use either the R-squared or the adjusted R-squared to compare different specifications of a model that explains the same thing, so that I can choose the "better" specification. That's why I ask you to please explain a little more of what you're trying to do.

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Best,