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This step prepared the waste records in each of the 20 waste groups for the regression analysis by separating waste records for each waste group and arranging the values in a matrix. The rows of each matrix represented each waste record and the columns represented potential independent variables to be investigated. The value to be predicted was: y = total annual waste generation (tons/year) for each waste group The potential independent variables to be investigated were x1 = number of employees at the facility x2 = ISO 9000 certi cation duration (months)

Listing 12-4

x3 = ISO 14001 certi cation duration (months) x4 = land ll disposal fee per ton in area (dollars) x5 = recycling level (percentage of total waste generation) x6 = days open per year Nonlinear variables to be investigated were x12 = number of employees at the facility squared x42 = land ll disposal fee per ton in area (dollars) squared x52 = recycling level (percentage of total waste generation) squared Several indicator variables to be investigated were x7 = indictor variable code 1 non ISO 9000 certi cation and code 0 for certi cation x8 = indictor variable code 1 non ISO 14000 certi cation and code 0 for certi cation Indicator variables were used to investigate the effects of company location. The variables were investigated based on the U.S. state in which the company operated: x9 through x38 = indictor variable for U.S. state of operation with code 1 for operation in state i and code 0 for operation in a different state Several interaction variables to be investigated were x1x2 = interaction variable between number of employees and ISO 9000 duration x1x3 = interaction variable between number of employees and ISO 14000 duration x1x4 = interaction variable between number of employees and disposal cost x1x5 = interaction variable between number of employees and recycling level x1x6 = interaction variable between number of employees and days open per year x1x7 = interaction variable between number of employees and ISO 9000 indicator x1x8 = interaction variable between number of employees and ISO 14000 indicator

As noted, List view is only available when your search produces multiple results (like pizza 32174 ) or you ve asked for directions, as shown in Figure 16 4.

In tting a multivariable regression model and when the number of variables exceeds two, as in the case of these models, matrix theory can facilitate the mathematical manipulations considerably (Walpole and Myers, 1993). Minitab was used as the software program to conduct the regression analyses.

Listing 12.4: An example of the use of attribute relay 1 < xml version="1.0" > 2 <env:Envelope xmlns:env="http://www.w3.org/2003/05/soap-envelope"> 3 <env:Header> 4 <m:Blockm xmlns:p=http://myCompany.com 5 env:role=http://myCompany.com/Log 6 env:mustUnderstand="true"> 7 ... 8 ... 9 </m:Blockm> 10 <n:Blockn xmlns:q="http://myComapny.com" 11 env:role="http://www.w3.org/2003/05/soap-envelope/role/next" 12 env:relay="true"> 13 ... 14 ... 15 </n:Blockn> 16 <r:Blockr xmlns:r="http://myCompany.com"> 17 ... 18 ... 19 </r:Blockr> 20 </env:Header> 21 <env:Body > 22 ... 23 ... 24 </env:Body> 25 </env:Envelope>

For the general model, there are k independent variables, denoted as x1, x2, . . ., xk and n observations denoted as y1, y2, . . ., yn. Each variable is expressed by the equation yi = 0 + 1 x1i + 2 x 2i + + k x ki + i

Your Maps program can not only tell you how to get somewhere, it can check traffic along the way. This feature is supported only in the US for now. 1. 2. Tap the lower right corner of the map to see the options. Turn Traffic to ON.

SOAP Message Exchange Types A SOAP message is fundamentally a one-way transmission between SOAP nodes, from a SOAP sender to a SOAP receiver. However, SOAP messages can be combined to obtain more complex interaction patterns, such as RPC-type request/response and back-and-forth conversational messages. We discuss the RPC-type request/response interaction next.

The model represents n equations describing how the dependent variables (annual solid waste generation per company) are generated. Using matrix notation, the equations can be written as y = X + where y1 y y = 2 yn 1 x11 1 x12 X= 1 x1n x 21 x 22 x2n x k1 xk 2 x kn 0 1 = 2 k

TIP: You can also turn the page like a book to get to this view. The animation is just like using the iBooks app.