Examples of using Correlation matrix in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Maybe try a correlation matrix.
A correlation matrix was then constructed.
We're almost at the correlation matrix.
The correlation matrix of the items presented r< 0.8 p< 0.05.
And, I will show you the correlation matrix in a moment.
The correlation matrix indicated different items with coefficients>=0.30.
Initially, the Pearson correlation matrix was used.
The collinearity between independent variables was tested by a correlation matrix.
Table 2 shows the correlation matrix between the study variables.
Thus, 23 correlated items were grouped into factors that helped understand the structure of the correlation matrix and better interpret the results.
Table 2 presents the correlation matrix between variables of the study.
The test for multicollinearity highly correlated variables orsingularity variables which are perfectly correlated of the data was performed by calculating the determinant of the correlation matrix.
Table 2 presents the correlation matrix for the HPA scores.
The correlation matrix for the main study variables is shown in Table 3 below.
This analysis resulted in the correlation matrix which is exposed in Table 1.
The correlation matrix did not identify multicollinearity among variables, as Pearson correlation coefficients were lower than 0.52.
To validate the analyses, the correlation matrix pictured below was used.
The correlation matrix was considered adequate for performing the EFA, with a Kaiser-Meyer-Olkin coefficient of 0.937 and a significant Bartlett's sphericity test p< .0001.
Multicollinearity was evaluated by the correlation matrix between independent variables.
Table 3 shows the correlation matrix extracted using principal components analysis and rotated using the Varimax method with Kaiser normalization.
Then after my model comparisons,I ran the correlation matrix and there you see the same values.
Therefore, a correlation matrix of changes in closing prices are computed through pairs of the bovespa(stock exchange in s¿ao paulo) forming a finance network.
For both the descriptive statistics of the variables and a correlation matrix calculated from the data collected were used.
Table 2 Pearson correlation matrix for the environmental and health variables under study.
Data analysis was performed using descriptive statistics, correlation matrix, regressions ols and panel data.
Table 4 shows the correlation matrix for the variables that remained in the analysis.
Before conducting the Factor Analysis we guaranteed that the correlation matrix was adequate for this kind of analysis.
After the factors were selected, a correlation matrix was generated using the method of varimax rotation with Kaiser normalization, which showed the relationships between items and factors, by means of factorial loads, considering those> 0.3.
To filter the pre-selected variables was undertaken a qualitative analysis and correlation matrix and then econometric models were developed.
After the selection of the factors, a correlation matrix was generated, where the associations between items and factors were observed through factorial loads.