Suppose you fit the quadratic modelE(y) = ?0 + ?1x +

Chapter 12, Problem 51E

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QUESTION:

Suppose you fit the quadratic model

                                          \(E(y)=\beta 0+\beta 1 x+\beta 2 \times 2\)

to a set of n = 20 data points and found \(R^2\) =.91, \(SS_yy\) =29.94, and SSE = 2.63.

a. Is there sufficient evidence to indicate that the model contributes information for predicting y? Test using \(\alpha\) =.05.

b. What null and alternative hypotheses would you test to determine whether upward curvature exists?

c. What null and alternative hypotheses would you test to determine whether downward curvature exists?

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QUESTION:

Suppose you fit the quadratic model

                                          \(E(y)=\beta 0+\beta 1 x+\beta 2 \times 2\)

to a set of n = 20 data points and found \(R^2\) =.91, \(SS_yy\) =29.94, and SSE = 2.63.

a. Is there sufficient evidence to indicate that the model contributes information for predicting y? Test using \(\alpha\) =.05.

b. What null and alternative hypotheses would you test to determine whether upward curvature exists?

c. What null and alternative hypotheses would you test to determine whether downward curvature exists?

ANSWER:

Step 1 of 4

a)  A better method is to conduct a test of hypothesis involving all the  parameters

     (except ) in a model,

     The elements of the global test of the model follow:

     

      : At least one of the two model coefficients,  is nonzero.

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