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1. What role does the normal probability plot play in examining whether the multiple regression model is appropriate for a given set of data?

2. Discuss residual analysis in terms of the assump- tions required for using the multiple regression model.

3. Given the printout in Exercise 16.15,  briefly summarize the overall results in the context of that exercise:

a. Identify and interpret each of the partial regression coefficients.

b. What proportion of the variation in is explained by the equation?

c. At what p-value is the overall regression equation significant?

d. For each of the partial regression coefficients, at what p-value does the coefficient differ from zero? Which independent variables appear to be most and least useful in explaining changes in y?

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  • Category:- Statistics and Probability
  • Reference No.:- M91704274

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