Suppose you fit the second-order modely = ?0 + ?1x + ?2x2

Chapter 12, Problem 50E

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QUESTION:

Suppose you fit the second-order model

                                            \(y=\beta_0+\beta_1 x+\beta_2 x^2+\varepsilon\)

to n = 25 data points. Your estimate of \(\beta_2\) is \(\hat{\beta}_2=.47\), and the estimated standard error of the estimate is .5.

a. Test \(H_0: \beta_2=0\) against \(H_{\mathrm{a}}: \beta_2 \neq 0\). Use \(\alpha=.05\).

b. Suppose you want to determine only whether the quadratic curve opens upward; that is, as x increases, the slope of the curve increases. Give the test statistic and the rejection region for the test for \(\alpha=.05\). Do the data support the theory that the slope of the curve increases as x increases? Explain.

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QUESTION:

Suppose you fit the second-order model

                                            \(y=\beta_0+\beta_1 x+\beta_2 x^2+\varepsilon\)

to n = 25 data points. Your estimate of \(\beta_2\) is \(\hat{\beta}_2=.47\), and the estimated standard error of the estimate is .5.

a. Test \(H_0: \beta_2=0\) against \(H_{\mathrm{a}}: \beta_2 \neq 0\). Use \(\alpha=.05\).

b. Suppose you want to determine only whether the quadratic curve opens upward; that is, as x increases, the slope of the curve increases. Give the test statistic and the rejection region for the test for \(\alpha=.05\). Do the data support the theory that the slope of the curve increases as x increases? Explain.

ANSWER:

Step 1 of 4

a)  The hypotheses of interest concern the parameter  . Specifically,

     

The test statistic is a t -statistic formed by dividing the sample estimate  of the

parameter  by estimated standard error of  (denoted s_{\hat{\beta }_{2}}).

These estimates,  = 0.47 and s_{\hat{\beta }_{2}} = 0.15.

The calculated t -value,

Test statistic:

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