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If you are able to calculate the LAD regression estimates, then you can also calculate the test statistic FLAD in (412) Using the regression estimates, form the residuals, from which you can obtain T and SAR ruli ' Similarly, you can obtain SAR reduced' Now F LAD can be calculated If q = 0, then SAR reduced = L IYi - YI, where y is the sample median of the y/s Test Case To try out a computational procedure for least-absolute-deviations regression, the data set in Table 32 can serve as a test case For simple regression, let X = Xl' The estimated regression line is Y = 3000 + 1750X The test statistic for testing f3 = 0 is It I = 2676 For multiple regression, using both Xl and X 2, the estimated regression equation is Y = 3271 + l. Free Trial Download for KA.Barcode for Word. Start now to download Barcode Generator for Word trial for free! 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From the data in Table 1.1 we can calculate SSR ful1 819.7, (j2 = 819.7/22 = 37.26, and SSRrcduccd = 9150.5. So F = (9150.5 - 819.7)/4(37.26) = 55.90. The degrees of freedom are 4 and 22. The calculation of SSR full is very difficult to do with an ordinary hand calculator, and so one would want to have the calculation of the test statistic done by a regression computer package or else write a computer program oneself (see Section 3.12). Most regression computer packages would print out the p-value of the test. Some computer languages include a function that would yield the p-value given the input 55.90, 4, and 22. The p-value is less than 0.0001. Without a computer, one can pin down the p-value by using tables called F tables. The F table in the Appendix tells us that for 4 and 22 degrees of freedom, Prob(F z 4.31] = 0.01 when the null hypothesis is true. Since 55.90 > 4.31, we see that the p-value of our test is less than 0.01. 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SmartCodeDeveloper is an upgraded version of the Free Barcode SDK. .Related: .NET PDF417 Generating , Data Matrix Generating Java , ITF-14 Generating Word We would now go through the compiled list of objects, vetting each as candidates for objects in the system being developed For example, we could remove those that did not describe items that had responsibility for speci c actions, since these will probably be attributes of some of the other objects rather than objects in their own right Name , address , phone , booking information and customer s holiday would go on this basis Vague items, such as details , have no place in the nal list Our re ned list would therefore be reduced to: system customer package holiday currency invoice This simple analysis of the initial requirements results in a list of potential objects that we can validate in consultation with the customer or end-user By returning to the initial requirements statements, we can attach responsibilities to each of these objects For example, a Package Holiday object ust retain details such as destination, date of travel, accommodation type, etc, and must also refer to a speci c customer Using this combination of items and their responsibilities, we can go on to construct detailed scenarios that show how objects will be required to interact in the system and hopefully add more detail to the requirements statements Once we have compiled a complete and correct list of objects and their responsibilities, we have a system speci cation, which is a full description of what the system must do A system speci cation will probably consist of the details of a large number of objects and tasks that they must perform Normally, these are inter-related, in that an object s task may need to perform some work requiring the information contained in another object For example, an insurance record object will be related to some customer object and may need to interact with it in order to process an insurance quote. 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