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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.