[See Solution] A researcher builds a simultaneous multiple regression equation to predict scores on a dependent variable (Y) from scores on four different
Question: A researcher builds a simultaneous multiple regression equation to predict scores on a dependent variable (Y) from scores on four different predictor variables (X1, X2, X3, and X4). The unstandardized regression coefficient (the B weight) for X1 is 0.6 and for X2 is 0.3. Does X1 have twice as strong a relationship with Y as does X2? Why, or why not?
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