Suppose you fit the interaction modely = ?0 + ?1x1 + ?2x2

Chapter 12, Problem 36E

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QUESTION:

Suppose you fit the interaction model

\(y=\beta_{0}+\beta_{1} x_{1}+\beta_{2} x_{2}+\beta_{3} x_{1} x_{2}+\varepsilon\)

to n = 32 data points and obtain the following results:

\(\begin{array}{llll} \mathrm{SS}_{y y}=479 & \mathrm{SSE}=21 & \hat{\beta}_{3}=10 & s_{\hat{\beta}_{3}}=4 \end{array}\)

a. Find \(R^2\) and interpret its value.

b. Is the model adequate for predicting y? Test at \(\alpha\ =\ .05\).

c. Use a graph to explain the contribution of the \(x_1x_2\) term to the model.

d. Is there evidence that \(x_1\) and \(x_2\) interact? Test at \(\alpha\ =\ .05\).

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QUESTION:

Suppose you fit the interaction model

\(y=\beta_{0}+\beta_{1} x_{1}+\beta_{2} x_{2}+\beta_{3} x_{1} x_{2}+\varepsilon\)

to n = 32 data points and obtain the following results:

\(\begin{array}{llll} \mathrm{SS}_{y y}=479 & \mathrm{SSE}=21 & \hat{\beta}_{3}=10 & s_{\hat{\beta}_{3}}=4 \end{array}\)

a. Find \(R^2\) and interpret its value.

b. Is the model adequate for predicting y? Test at \(\alpha\ =\ .05\).

c. Use a graph to explain the contribution of the \(x_1x_2\) term to the model.

d. Is there evidence that \(x_1\) and \(x_2\) interact? Test at \(\alpha\ =\ .05\).

ANSWER:

Step 1 of 7

For the given information, suppose you fit the interaction model

 to n = 32 data points and obtain the following result:

(a) We have to the value of

      The multiple coefficient of determination, , is defined as

     

      We conclude that our model is best fit to the data

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