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You can change the line spacing in a PowerPoint slide to create more or less space between lines of text in the slide. For example, you might want to increase line spacing from the default 1.0 setting to a setting such as 2.0 or even 3.0 so the text fills up more space in the text box or to make the text easier to read. If, after increasing line spacing, you find that your text does not quite fit in its text box, you can reduce the line spacing to make room. You access PowerPoint line-spacing options from the Home tab.

Indicator variables are also referred to as dummy variables. The following example [from Montgomery, Peck, and Vining (2001)] illustrates some of the uses of indicator variables; for other applications, see Montgomery, Peck, and Vining (2001). EXAMPLE 12-12 A mechanical engineer is investigating the surface finish of metal parts produced on a lathe and its relationship to the speed (in revolutions per minute) of the lathe. The data are shown in Table 12-14. Note that the data have been collected using two different types of cutting tools. Since the type of cutting tool likely affects the surface finish, we will fit the model Y

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4. Save your work. Testing the DataGrid You can test the DataGrid by setting the CustomerList.aspx as the start page and running the application. 1. Set the Customer project to be the startup project. This can be done by right-clicking the Customer project in the Solution Explorer and clicking Set As StartUp Project. 2. Set the CustomerList page as the startup page. This can be done by right-clicking the CustomerList.aspx page and clicking Set As Start Page. 3. Run the application. The result should look like Figure 8.16. 4. Check your work back into Visual SourceSafe.

where Y is the surface finish, x1 is the lathe speed in revolutions per minute, and x2 is an indicator variable denoting the type of cutting tool used; that is, x2 e 0, for tool type 302 1, for tool type 416 0, the model becomes

The parameters in this model may be easily interpreted. If x2 Y which is a straight-line model with slope becomes Y

8

0 1x1 2 112 0

Table 12-14 Surface Finish Data for Example 12-13 Observation Number, i 1 2 3 4 5 6 7 8 9 10 Surface Finish yi 45.44 42.03 50.10 48.75 47.92 47.79 52.26 50.52 45.58 44.78 RPM 225 200 250 245 235 237 265 259 221 218 Type of Cutting Tool 302 302 302 302 302 302 302 302 302 302 Observation Number, i 11 12 13 14 15 16 17 18 19 20 Surface Finish yi 33.50 31.23 37.52 37.13 34.70 33.92 32.13 35.47 33.49 32.29 RPM 224 212 248 260 243 238 224 251 232 216 Type of Cutting Tool 416 416 416 416 416 416 416 416 416 416

which is a straight-line model with slope 1 and intercept 0 2 . Thus, the model implies that surface finish is linearly related to lathe speed and Y x x2 0 1 2 that the slope 1 does not depend on the type of cutting tool used. However, the type of cutting tool does affect the intercept, and 2 indicates the change in the intercept associated with a change in tool type from 302 to 416. The X matrix and y vector for this problem are as follows: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 225 200 250 245 235 237 265 259 221 218 224 212 248 260 243 238 224 251 232 216 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 45.44 42.03 50.10 48.75 47.92 47.79 52.26 50.52 45.58 44.78 33.50 31.23 37.52 37.13 34.70 33.92 32.13 35.47 33.49 32.29

Summary

0.14115x1

13.28020x2

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