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To quickly increase or decrease the font size, you can select the text you want to change and then click the Increase Font Size ( ) or Decrease Font Size ( ) button in the Home tab s Font group as many times as needed until the text is the desired size. Select the text whose format you want to change and then click the Bold button ( ), the Italic button ( ), the Underline button ( ), the Shadow button ( ) or the ). Strikethrough button (

(12-40)

1. What is a Visual Studio .NET project 2. What is the benefit of creating your own folder structure instead of letting Visual Studio .NET create the folder structure for you 3. How do you get Visual Studio .NET to see a folder that you have created that is not in the C:\inetpub\wwwroot folder 4. You are trying to create a Web share for a folder in Windows Explorer, but the Web Share tab is not available. What is the most probable cause and solution 5. What is an easy way to get access to the event log objects 6. Which window can be used to discover the data types that are defined within an assembly 7. What is a method of narrowing the scope of your searches to get more accurate results

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This prediction interval is a generalization of the prediction interval given in Equation 11-33 for a future observation in simple linear regression. If you compare the prediction interval Equation 12-40 with the expression for the confidence interval on the mean, Equation 12-38, you will observe that the prediction interval is always wider than the confidence interval. The confidence interval expresses the error in estimating the mean of a distribution, while the prediction interval expresses the error in predicting a future observation from the distribution at

the point x0. This must include the error in estimating the mean at that point, as well as the inherent variability in the random variable Y at the same value x x0. In predicting new observations and in estimating the mean response at a given point x01, x02, . . . , x0k, we must be careful about extrapolating beyond the region containing the original observations. It is very possible that a model that fits well in the region of the original data will no longer fit well outside of that region. In multiple regression it is often easy to inadvertently extrapolate, since the levels of the variables (xi1, xi2, . . . , xik), i 1, 2, . . . , n, jointly define the region containing the data. As an example, consider Fig. 12-5, which illustrates the region containing the observations for a two-variable regression model. Note that the point (x01, x02) lies within the ranges of both regressor variables x1 and x2, but it is outside the region that is actually spanned by the original observations. Thus, either predicting the value of a new observation or estimating the mean response at this point is an extrapolation of the original regression model. EXAMPLE 12-8 Suppose that the engineer in Example 12-1 wishes to construct a 95% prediction interval on the wire bond pull strength when the wire length is x1 8 and the die height is x2 275. Note 27.66. that x [1 8 275], and the point estimate of the pull strength is y0 x 0 0 Also, in Example 12-7 we calculated x 1 2 1x0 0.04444. Therefore, from Equation 0 12-40 we have 27.66 2.074 25.235211

2.074 25.235211

1. A project is the source of the executable assembly that you will build using Visual Studio .NET. It is also known as an application. 2. If you create your own folder structure, it can be created in more organized format for the system that you are building. 3. After you create your folder, you must create a Web share for the folder, which creates a virtual directory in Internet Information Services. 4. You are not a member of the VS Developers group. You must be placed into this group to be able to create Web shares. 5. Drag-and-drop the event log from the Server Explorer to your form. This will create an EventLog component that you can use in your code. 6. The Object Browser window. 7. Create and use a Help filter.

Notice that the prediction interval is wider than the confidence interval on the mean response at the same point, calculated in Example 12-7. The Minitab output in Table 12-4 also displays this prediction interval.

EXERCISES FOR SECTIONS 12-3 AND 12-4

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