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where Y represents the tool life, x1 represents the cutting speed, x2 represents the tool angle, and is a random error term. This is a multiple linear regression model with two regressors. The term linear is used because Equation 12-1 is a linear function of the unknown parameters 0, 1, and 2. The regression model in Equation 12-1 describes a plane in the three-dimensional space of Y, x1, and x2. Figure 12-1(a) shows this plane for the regression model E1Y 2 50 10x1 7x2

where we have assumed that the expected value of the error term is zero; that is E( ) 0. The parameter 0 is the intercept of the plane. We sometimes call 1 and 2 partial regression coefficients, because 1 measures the expected change in Y per unit change in x1 when x2 is held constant, and 2 measures the expected change in Y per unit change in x2 when x1 is held constant. Figure 12-1(b) shows a contour plot of the regression model that is, lines of constant E(Y ) as a function of x1 and x2. Notice that the contour lines in this plot are straight lines.

Categories Categorization Scheme: uddi-org:types Key Name: Specification for a web service described in WSDL Key Value: wsdlSpec Overview Document Overview URL http://teachatechie.com/GJTTVBWebServices/TextToImage.asmx Overview Descriptions (per Language) Description - en This is a Text to Image Conversion

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Sometimes a partition of the question into successive picks is an easier method to solve the problem. EXAMPLE 2-18 A day s production of 850 manufactured parts contains 50 parts that do not meet customer requirements. Two parts are selected randomly without replacement from the batch. What is the probability that the second part is defective given that the rst part is defective Let A denote the event that the rst part selected is defective, and let B denote the event that the second part selected is defective. The probability needed can be expressed as P1B A2. If the rst part is defective, prior to selecting the second part, the batch contains 849 parts, of which 49 are defective, therefore P1B A2 EXAMPLE 2-19 49 849

Continuing the previous example, if three parts are selected at random, what is the probability that the rst two are defective and the third is not defective This event can be described in shorthand notation as simply P(ddn). We have P1ddn2 50 850 49 849 800 848 0.0032

The registration items are set up first, as shown in Figure 16.16. (Descriptions that contain the en label denote English.) This simply involves the creation of a provider and a contact. A tModel must be set up next, as shown in Figure 16.17. This involves creating a tModel, assigning a name, a category, and an overview document. Be sure to assign the category called uddi-org:types as shown. This will expose the Web service to Visual Studio .NET users. The overview document must be set to the .asmx file of the Web service. The Service properties must be set up last, as shown in Figure 16.18. The service requires a name to be assigned, a description for the service, and a binding to be created. The names and descriptions must exist in English, and optionally may exist in other languages. Notice that the binding will reference the tModel that was defined in Figure 16.16.

The third term is obtained as follows. After the rst two parts are selected, there are 848 remaining. Of the remaining parts, 800 are not defective. In this example, it is easy to obtain the solution with a conditional probability for each selection. EXERCISES FOR SECTION 2-4

2-57. Disks of polycarbonate plastic from a supplier are analyzed for scratch and shock resistance. The results from 100 disks are summarized as follows: shock resistance high low 70 9 16 5 Let A denote the event that a sample has excellent surface nish, and let B denote the event that a sample has excellent length. Determine: (a) P1A2 (b) P1B2 (c) P1A B2 (d) P1B A2 (e) If the selected part has excellent surface nish, what is the probability that the length is excellent (f) If the selected part has good length, what is the probability that the surface nish is excellent 2-59. The analysis of shafts for a compressor is summarized by conformance to speci cations: roundness conforms yes no 345 5 12 8

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