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Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship between one dependent variable and one or more independent variables.
I'm not actually dead-set on using linear regression: the only thing I want is to be able to understand which of the 9 variables is truly driving the variation in the Score variable. Preferably, this would be some method that takes the strong potential for collinearity in these 9 variables into account.