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, xm ; and (5) the prediction interval for a random value of the response variable y given a set of particular values for the predictor variables x1 , x2 , , xm One may apply a separate t-test for each predictor x1 , x2 ,or x3 , examining whether a linear relationship exists between the target variable y and that particular predictor On the other hand, the F-test considers the linear relationship between the target variable y and the set of predictors (eg, { x1 , x2 , x3 }) taken as a whole Categorical predictor variables may also be used as inputs to regression models, through the use of indicator variables (dummy variables) For use in regression, a categorical variable with k categories must be transformed into a set of k 1 indicator variables.

A major part of any feasibility study is the financial analysis section. This section is normally broken down into four subsections, such as the capital investment required and a tentative financing plan, pro forma income statements, projected cash flow, and evaluation of projections.

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The framework ts the 3 Cs business approach: . Content content and service delivery. Traditionally this role is ful lled by a content provider and/or aggregator. . Connection core and access networks. Traditionally provided by a network operator. . Consumption client platform and application software. Traditionally enabled by end-user equipment and applications. Typically, a business model would deploy each of these domains separately or in groups for a single operator (or provider) in the value chain. There may be common functions required by different operators and so domains may be overlapping. This may lead to redundancy and competition. In all cases, each domain provides a distinct set of functions and components. For example, a content provider may operate a streaming server (and therefore part of a service delivery domain) while keeping his/her business model separated from that of a service provider, which may be aggregating streams. This framework implies complete scalability unlimited numbers of each domain working with unlimited numbers of other domains. Furthermore, it does not impose business model restraints.

Illustrated TCP/IP by Matthew G. Naugle Wiley Computer Publishing, John Wiley & Sons, Inc. ISBN: 0471196568 Pub Date: 11/01/98

An indicator variable, also known as a dummy variable, is a binary 0/1 variable, which takes the value 1 if the observation belongs to the given category, and takes the value 0 otherwise These indicator variables de ne a set of parallel (hyper-) planes The vertical distance between these parallel planes, as measured by the coef cient for the indicator variable, represents the estimated effect of the particular indicator variable on the target variable with respect to the reference category In the interests of parsimony, we should nd some way to penalize the R 2 measure for models that include predictors that are not useful Fortunately, such a 2 penalized form for R 2 does exist, and is known as the adjusted R 2 .

=(COUNTIF(A1:A100)>=10)-(COUNTIF(A1:A100)>=20)

Regression Equation Variable BENEFITC DUMMREC BENEFITC* DUMMREC INTERCEPT b .234354 .746142 .061943 3.156921 sb .094133 .107228 .119527 .084257 b* .230804 .400766 .046616 t 2.490 6.958 .518 37.468 p .014 .001 .605 .001

If Radj is much 2 less than R , this is an indication that at least one variable in the model may be extraneous, and the analyst should consider omitting that variable from the model 2 When one is building models in multiple regression, one should use Radj and s rather 2 than the raw R The sequential sums of squares partitions the SSR into the unique portions of the SSR that are explained by the particular predictors given any earlier predictors Thus, the values of the sequential sums of squares depends on the order in which the variables are entered into the model Multicollinearity is a condition where some of the predictor variables are correlated with each other Multicollinearity leads to instability in the solution space, possibly leading to incoherent results.

These two statements have slightly different effects. When an embedded chart is the active chart, executing Deselect method does not select any cells on the worksheet. Setting the Visible property of the ActiveWindow object to False, however, causes the previously selected range to be re-selected.

To distort graphic objects:

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