Deck 14: Multiple Regression Analysis

Question 1

Answer 1

True

Question 2

Answer 2

True

Question 3

A variable taking on only the values 0 and 1 is called a dummy or indicator variable.

Answer 3

True

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Question 8

The predicted values, the residuals and SSResid for a multiple regression model are interpreted as they were for the simple linear regression model.

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Question 15

In a multiple regression model, the utility of the model can be tested with a t test.

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Question 21

What are the characteristics of a good fitting multiple regression model?

Question 22

a)W . c)Would the mean be larger or smaller if the amount of copper is increased and the amounts of steel and titanium are held constant? Explain in a few sentences. d)If there was an interaction between the amounts of copper and titanium, what additional predictor variable should be added to the model?

Question 23

What is a dummy variable?

Question 24

Multicollinearity is a model selection procedure that can be used to compare different models. Chapter 14, Concept Quiz

Question 25

A normal probability plot of the standardized residuals can be used to investigate whether it is plausible that the distribution of e is approximately normal.

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Question 28

e