Question: 23- A researcher builds a simultaneous multiple regression equatio n to predict scores of a dependent variable (Y) from scores of four different predictor variables

23- A researcher builds a simultaneous multiple regression equatio n to predict scores of a dependent variable (Y) from scores of four different predictor variables (X1, X2, X3, and X4). The unstandardizedregression coefficient (the Beta 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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