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This criterion is termed ordinary least squares MR that employs this criterion is also known as ordinary least squares regression (OLS regression) Multiple regression computed using ordinary least squares produces optimal estimates of the regression weights in that the correlation between the predicted score Y and the observed criterion Y is maximized The weights also have desirable properties for use in testing theoretical hypotheses when several statistical assumptions, to be presented later in the chapter, are met Residuals play a special role in the detection of problems with the hypothesized regression model Examination of special plots and diagnostic statistics based on the residuals help identify ways in which the regression model can be modi ed and improved to better capture the relationships in the data Nonlinear Relationships and OLS Regression Although Equation 19.

1 might seem to limit multiple regression only to the study of linear relationships, this is not the case We can also replace any of the Xj terms with a variety of mathematical functions of the predictor variables in Equation 191 to represent other forms of relationships For example, a psychologist studying perceptions of the area of square objects (Y) as a function of their width (Xj) would include a b j X 2 term in the regression equation given the known physij cal relationship for the area of squares, area = (width)2 In general, any mathematical expression involving one or more predictor variables may be used X j , log (Xj), Xj X k , and so forth So long as the regression weight simply serves to multiply the mathematical expression, the regression equation is linear in the coef cients and can be estimated using ordinary least squares.

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Thus, although the results would almost certainly not be theoretically meaningful, the equation 2 Y = b0 + b1 X 1 + b2 X 2 + b3 X 1 + b4 X 1 X 2 could be estimated using OLS regression In contrast, regression equations.

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Thus, to reflect a real dynamics of emotional experience as a process, cross-sectional measures should be supplemented by qualitative methods, such as narratives or video-assisted self-confrontation interviews (Hanin, 2003; S ve, Ria, Poizat, Saury, & Durand, in press) Long-term temporal dynamics are related to emotionperformance relationships during a competitive season (seasons), the 4-year Olympic cycle, or an athlete s sports career The best indicators of long-term development of emotional experiences are relatively stable emotion patterns and especially meta-experiences In the assessment of temporal patterns of emotional experiences, future researchers should include both topological (phases, cycles, sequencing, periodicity, timing) and metric (duration, frequency) characteristics Research on topological characteristics of temporal patterns in the dynamics of emotions in sport remains nonexistent..

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Some people think that the second incarnation of the procedure is actually more difficult to read. Remember, though, that the objective is increased speed. Although the first version may be more straightforward and easier to understand, a procedure that uses the With-End With construct when changing several properties of an object can be significantly faster than the equivalent procedure that explicitly references the object in each statement.

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Spotlight usually gets its claws on files only when they re created, modified, moved, or copied. By using mdimport r, you can force Spotlight to get involved without having to touch all the files to be imported.

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If we think in terms of navigation within an of ce building, it is certainly enough to propose a simpli ed WLAN positioning system If we want to implement a navigation system in an exhibition hall, a 2D-repeater approach could be an accurate candidate Last but not least, a guidance system in railway stations or airport terminals would probably take advantage of a combination of these two techniques, depending on the speci c requirements of the users (staff or customers, and so on) The various systems available for indoor positioning can be classi ed in many ways, depending on criteria such as the localization type (symbolic, relative, or absolute), the coverage (indoors, outdoors, or ideally both), the fact that the infrastructure calculates the position of the mobile terminal or that the calculation is carried out at the receiver.

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