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Simple Regression Models Table 7.9. Calculation of linear regression with least squares method Income (x) $15,000.00 $16,000.00 $17,000.00 $18,000.00 $19,000.00 $20,000.00 $23,000.00 $26,000.00 $29,000.00 $33,000.00 $35,000.00 $36,000.00 $38,000.00 $39,000.00 $41,000.00 $43,000.00 $44,000.00 $46,000.00 $49,000.00 $52,000.00 $54,000.00 $52,000.00 $55,000.00 $59,000.00 $62,000.00 $65,000.00 $66,000.00 Totals Monthly Sales (y) $54.00 $61.00 $70.00 $65.00 $68.00 $84.00 $85.00 $90.00 $87.00 $112.00 $115.00 $118.00 $120.00 $118.00 $131.00 $150.00 $148.00 $151.00 $157.00 $168.00 $156.00 $158.00 $161.00 $183.00 $167.00 $186.00 $191.00 x xi 23,963 22,963 21,963 20,963 19,963 18,963 15,963 12,963 9,963 5,963 3,963 2,963 963 37 2,037 4,037 5,037 7,037 10,037 13,037 15,037 13,037 16,037 20,037 23,037 26,037 27,037 yi y 70.22 63.22 54.22 59.22 56.22 40.22 39.22 34.22 37.22 12.22 9.22 6.22 4.22 6.22 6.78 25.78 23.78 26.78 32.78 43.78 31.78 33.78 36.78 58.78 42.78 61.78 66.78 x xi yi y 1,682,733 1,451,770 11,908,801 1,241,473 1,122,362 762,733 626,103 443,621 370,844 72,881 36,547 18,436 4,066 230 13,807 104,066 119,770 188,436 328,992 570,733 477,844 440,362 589,807 1,177,733 985,473 1,608,510 1,805,473 17,435,222

Next S0 kx ; ky is interpolated so that the sampled values of kx lie in regular intervals. The interpolated S0 kx ; ky is inverse Fourier transformed in order to obtain the reconstructed image. The block diagram of the algorithm is shown in Figure 17.8.

Individual Variable Scoring Methodology Score 5 4 3 2 1 0 Interpretation Excellent Above average Average Below average Poor Horrible/nonexistent

Also Known As: Overwrite, Stale Dominance Most Frequent Scale: Application Refactorings: Version Refactored Solution Type: Software Root Causes: Inexperience Unbalanced Forces: Complexity and education Anecdotal Evidence: Our users are stepping all over each other s updates!

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2 3.315 2.809 2.553

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The way this AntiPattern manifests will vary with the reasons that the data is kept in the session in the first place There are three basic types of data kept in the session: application data to populate forms, application state data to manage processes, and data related to navigating through the pages of the application Application data kept in the session is usually something like a customer s name and address This data is kept under keys like userName or address and is likely to run into conflicts with other JSPs that need to keep data with similar use As described earlier, the data ends up being switched by both JSPs back and forth When the data is retrieved and cast in the different contexts, there is a potential class cast exception if the data is of different types.

the carbohydrate region (1200 900 cm 1 ). Hierarchical cluster analysis of the spectra of 7 h colonies of two E. coli strains was carried out and Figure 7.17 illustrates the resulting dendrogram. This clearly shows the formation of two major clusters corresponding to the different strains.

Application state data that is kept in the session is usually something like a flag indicating if the current user is logged in or not The code in the JSPs usually looks like this: each user-sensitive JSP has a check for this flag, and if it s found the JSP is available; otherwise, it s not and the user is redirected to a login page Application flow logic like this is best implemented in a controller instead of a JSP Finally, the session can end up being a place where navigational data is stored For example, when a form is being filled in, some choices that the user makes can lead to different pages As these choices are made, flags or other small indicators are placed into the session JSPs retrieve these indicators and use them to render the HTML for the page differently.

in Californian racing circles. In human beings there are only two modes of movement walking, where one foot is always on the oor, and running, where both feet leave the oor simultaneously for part of the time. What hadn t been established was exactly what was happening in the more complex eld of horse locomotion. Speci cally, when a horse was trotting, did it manage to lift all four of its feet off the oor at once A railroad magnate, one-time Governor of California and racehorse breeder, Leland Stanford, was determined to settle this point, not only out of curiosity but also because he had a signi cant bet at stake. Stanford approached the wonderfully eccentric photographer Eadweard Muybridge, who had moved out to California from the less exotic environs of Richmond upon Thames in the 1850s. Stanford gave Muybridge a huge $40,000 grant to catch a horse, Occident, in mid-trot. The photograph would have to be clear enough to establish whether or not all its feet did leave the ground simultaneously. Muybridge arranged a series of cameras along a short racecourse, with an array of wires and rubber bands crossing the course that would set off the cameras as the horse trotted along. The experiment was a success. From the sequence of pictures it became obvious that the horse actually did y for part of the time. But it also became obvious to Muybridge that he had stumbled on a superb moneyspinner. The amboyant photographer mounted his sequence of photographs on great display boards and set off across the Atlantic to begin a European lecture tour. The crowds

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