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The analysis of variance for testing H0: 1 0 is summarized in the Minitab output in Table 11-2. The test statistic is f0 MSR MSE 152.13 1.18 128.86, for which we nd that the P-value is P 1.23 10 9, so we conclude that 1 is not zero. There are frequently minor differences in terminology among computer packages. For example, sometimes the regression sum of squares is called the model sum of squares, and the error sum of squares is called the residual sum of squares. Note that the analysis of variance procedure for testing for signi cance of regression is equivalent to the t-test in Section 11-5.1. That is, either procedure will lead to the same conclusions. This is easy to demonstrate by starting with the t-test statistic in Equation 11-19 with 1,0 0, say T0 2

Help can be obtained in Visual Studio .NET by simply pressing the F1 key. The F1 key is context sensitive, so if your cursor is placed within the word Print, pressing the F1 key will display Help for the print command. Visual Studio .NET supports Dynamic Help, which is available by clicking Help, Dynamic Help. The Dynamic Help window displays a context-sensitive list of links to topics that are related to the cursor location as well as links to sample code and related training topics. The topics that are displayed in the Dynamic Help window can be configured by clicking Tools, Options, Environment, Dynamic Help. It is possible to add topics to Dynamic Help. This feature can be used by vendors to add Help on their product and by information technology (IT) managers to display standard company coding practices. For more information, search the Help for Creating Basic XML Help Files (use the quotation marks in the search). Visual Studio .NET also contains a Full-Text Search feature, which allows you to enter a keyword or phrase to search for Help on. The Full-Text Search contains built-in filters, which help reduce the scope of your search. The Help filter list can be edited by clicking Help, Edit Filters, as shown in Figure 2.17. Previous versions of Visual Studio only allowed the creation of filters by sets of Help documentation, while Visual Studio .NET allows creation of help on a topic-by-topic basis. Searching topic by topic across sets of Help documentation is possible. Every topic contains a set of attributes relating to programming language, locale, status, target operating system, technology covered, information type, and document set. An example of a Help filter for use when developing software for WML-based cell phones is

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1 2

(11-27)

( Technology = kbWML ) OR ( DevLang = WML )

2S

(11-28)

2

2 Note that T 0 in Equation 11-28 is identical to F0 in Equation 11-26 It is true, in general, that the square of a t random variable with v degrees of freedom is an F random variable, with one and v degrees of freedom in the numerator and denominator, respectively. Thus, the test using T0 is equivalent to the test based on F0. Note, however, that the t-test is somewhat more exible in that it would allow testing against a one-sided alternative hypothesis, while the F-test is restricted to a two-sided alternative.

or click Enter (

EXERCISES FOR SECTION 11-5

Figure 2.17 When creating a Help filter, the filter definition (top) can be edited directly in its window or indirectly by selecting attributes and values from the lower window section.

11-18. Consider the data from Exercise 11-1 on x compressive strength and y intrinsic permeability of concrete. (a) Test for signi cance of regression using 0.05. Find the P-value for this test. Can you conclude that the model speci es a useful linear relationship between these two variables (b) Estimate 2 and the standard deviation of 1. (c) What is the standard error of the intercept in this model 11-19. Consider the data from Exercise 11-2 on x roadway surface temperature and y pavement de ection. (a) Test for signi cance of regression using 0.05. Find the P-value for this test. What conclusions can you draw (b) Estimate the standard errors of the slope and intercept. 11-20. Consider the National Football League data in Exercise 11-4. (a) Test for signi cance of regression using 0.01. Find the P-value for this test. What conclusions can you draw (b) Estimate the standard errors of the slope and intercept. (c) Test (using 0.01) H0: 1 0.01 versus H1: 1 0.01. Would you agree with the statement that this is a test

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