correlation matrix


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Related to correlation matrix: Covariance matrix
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a matrix giving the correlations between all pairs of data sets

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This means that the relation between regions established in the correlation matrix is stable through time, and can be used for reliable economic scenario creation.
Correlation matrices of the simultaneously measured KL coefficients (representing the spatial pattern of the individual QRST integral maps) did show marked linear relationships between certain coefficients, especially in normal subjects (upper truncated correlation matrix in Table 1.).
Table I CORRELATION MATRIX OF THE FIVE DIFFUSION INDEXES CONSTITUTING THE PMI (a) Supplier New Order Production Employment Delivery Inventory New order 1.00 Production 0.92 1.00 Employment 0.73 0.83 1.00 Supplier 0.60 0.58 0.68 1.00 delivery Inventory 0.49 0.54 0.72 0.69 1.00 (a) Pearson's product moment correlation.
TABLE 1 Scale Properties Male Female Scale alpha mean SD mean SD t Extraversion .87 5.6 3.6 5.2 3.8 .8 Neuroticism .86 5.0 3.5 5.2 3.9 .3 Psychoticism .46 1.9 1.5 2.1 1.7 .0 Lie scale .74 5.1 2.7 6.4 2.4 2.4 * FSAC .97 96.4 19.2 99.8 18.7 1.0 * p <.05 TABLE 2 Correlation Matrix Lie Psy Neu Ext FSAC .11 -.21 ** -.06 .02 Extraversion -.13 -.14 -.17 * Neuroticism -.26 *** -.05 Psychoticism -.16 ** *** p <.001 ** p <.01 * p <.05
Trout and Chow [69] tabulated two-sided nonequicoordinate p X 100 percentage points of trivariate (M = 3) t-distribution with non-singular correlation matrix
Table 2 contains a MTMM correlation matrix for the normative and ipsatized data.
Looking at the Correlation Matrix in Table 1, it becomes apparent that three variables, Q34-Q36, are correlated to a much lower degree with the others than these others are with one another.
The interitem correlation matrix for the five personal teaching efficacy items from Hoy and Woolfolk's (1993) revised version of the Teacher Efficacy Scale (Gibson & Dembo, 1984) were also submitted to principal components analysis.
For data set 2, there are some differences on the MDS scatter plot of the between-group correlation matrix (Fig.
The correlation matrix revealed only one factor with all six variables loading high on that factor.
Usually the eigenvalue [is greater than] 1 rule (given that S is a correlation matrix) and the screeplot are used to establish that a given S is compatible with the common factor model (e.g., Stevens, 1992).
I calculated the correlation matrix (3) for West Bengal (Table 1) and Bangladesh (Table 2) to determine the linear relationship of arsenic concentrations among the biochemical parameters.
In addition, if the pattern of a large correlation matrix is to be tested, then the fact that each individual correlation could have the wrong sign becomes important.
Examining the correlation matrix for the NBA variables (Table 1) and the selected scattergrams [ILLUSTRATION FOR FIGURE 1 OMITTED] constructed to pictorially represent these data distributions we noticed several significant outcomes.
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