Colorado State University Linear Regression Models Discussion – Question Description
I’m working on a programming multi-part question and need the explanation and answer to help me learn.
Consider the estimated regression equation
y = 3536 + 1183 * x1 + 1208 * x2
Suppose the model is changed to reflect the deletion of x2 and the resulting estimated simple linear equation becomes
y = -10,663 + 1386 * x1
and answer the following questions:
How should we interpret the meaning of the coefficient on x1 in the estimated simple linear regression equation?
How should we interpret the meaning of the coefficient on x1 in the estimated multiple regression equation?
Is there any evidence of multicollinearity? What might that evidence be?
Explain your work, along with your screenshot if appropriate
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