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The following macro demonstrates how to copy this range from Sheet1 to Sheet2 (beginning at cell A1). It uses the CurrentRegion property, which returns a Range object that corresponds to the block of cells around a particular cell (in this case, A1).

$ 6,500 5,000 10,900 26,000 $48,400

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To function appropriately, factor analysis requires a certain level of correlation Tests have been developed to ascertain whether there exists suf ciently high correlation to perform factor analysis r The proportion of variability within the standardized predictor variables which is shared in common, and therefore might be caused by underlying factors, is measured by the Kaiser Meyer Olkin measure of sampling adequacy Values of the KMO statistic less than 050 indicate that factor analysis may not be appropriate r Bartlett s test of sphericity tests the null hypothesis that the correlation matrix is an identity matrix, that is, that the variables are really uncorrelated The statistic reported is the p-value, so that very small values would indicate evidence against the null hypothesis (ie, the variables really are correlated) For p-values much larger than 0.

10, there is insuf cient evidence that the variables are not uncorrelated, so factor analysis may not be suitable Table 18 provides the results of these statistical tests The KMO statistic has a value of 0549, which is not less than 05, meaning that this test does not nd the level of correlation to be too low for factor analysis The p-value for Bartlett s test of sphericity rounds to zero, so that the null hypothesis that no correlation exists among the variables is rejected We therefore proceed with the factor analysis To allow us to view the results using a scatter plot, we decide a priori to extract only two factors The following factor analysis is performed using the principal axis factoring option In principal axis factoring, an iterative procedure is used to estimate the communalities and the factor solution.

It also occurs in competitive types of physical activity, especially when competition is intense Because too much stress detracts from subjective well-being, it is important to learn to regulate stress levels along a continuum that progresses from too little at one extreme, to optimal, to too much at the other extreme Exercise as a Stress Management Technique Exercise is one of the few stress management techniques that can assist in both raising and lowering stress levels More specifically, exercise enables participants to establish a personally optimal level of stress Physical activity serves as a technique for increasing stress levels when participating in competitive sport and in high-risk physical activities such as downhill skiing and scuba diving, even if they do not produce the desirable state of eustress for a participant.

This particular analysis required 152 such iterations before reaching convergence The eigenvalues and the proportions of the variance explained by each factor are shown in Table 19 Note that the rst two factors.

Yes, but it s not something that can be done automatically. To enable the user to undo the effects of your macro, your VBA code module must keep track of what was changed by the macro and then be capable of restoring the original state if the user selects Edit Undo. To enable the Edit Undo command, use the OnUndo method as the last action in your macro. This method enables you to specify text that will appear on the Undo menu item and also to specify a procedure to run if the user selects Edit Undo. Here s an example:

We used to play out in the backyard, backyard footy, backyard cricket, backyard basketball, and soccer. All types of sport you know, if someone s outside it would be one-on-one marking competition, stuff like that, where you do it, time and time again. (p. 52)

Neither browser wants to have the float property assigned to the text. Both browsers want to have the float property assigned to the IMG element. The result of applying the float element to the text element (in this case, the P element) varies by browser, but is equally unappealing in both browsers, as can be seen in Figures 34-9 and 34-10.

1.0 0.9 0.8 0.7 0.6 Rc 0.5 0.4 0.3 0.2 0.1 0.0 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00 : IEEE 802.15.4 Std. : MBS : MBS+EWMA