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Question 5 of 10 Why are partial regression coefficients necessary in multiple regression? (Points : 1)
Multiple variables each provide some of the same information.
Each variable involved contributes a unique error component.
Each variable involved is part of the intercept value.
Multiple variables each must provide components of the confidence interval.
2.
What does r2 accomplish that r does not? (Points : 1)
It quantifies the x/y relationship.
It normalizes the data involved in the relationship.
It provides an answer to the statistical hypotheses.
It makes the increments between tenths equal.

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