I understand residuals are the best way to spot nonlinearity. But the huge amount of data I work with, and my own lack of experience, means that I have a hard time deciding if my regression model show nonlinearity.
It has been suggested that you use partial regression plots to spot nonlinearity. I generated them and was hoping someone could suggest if they suggest nonlinearity (and more generally what to look for). I have no theory to build on, I am actually trying to develop a theory here. My field rarely does statistical analysis.
The only three variables I care about are rate, sum_of_tuition, and inserv. The other variables are dummy variables. My guess is that restriction of range applies to these, but I don't know if the others are nonlinear or not.
It has been suggested that you use partial regression plots to spot nonlinearity. I generated them and was hoping someone could suggest if they suggest nonlinearity (and more generally what to look for). I have no theory to build on, I am actually trying to develop a theory here. My field rarely does statistical analysis.
The only three variables I care about are rate, sum_of_tuition, and inserv. The other variables are dummy variables. My guess is that restriction of range applies to these, but I don't know if the others are nonlinear or not.
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