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Exact(30)
The most significant variable was found to be dyes initial concentration.
This variable was found to be of paramount importance in similar studies conducted in the early 1990s [10, 11, 13].
Unlike to our expectation, the binary logistic regression analysis of this variable was found to be statistically negative and significant at the 5% level of confidence.
No demographic variable was found to be bootstrap significant.
The main batch variable was found to be the bisulphite conversion (BCD) plate number.
However, the 'physicians' variable was found to be not significant in the model controlling for access to clean water.
Similar(30)
The estimated coefficient for Portugal's binary variable is found to be negative and statistically significant at the 1% level.
The spatial lag model is used to correctly specify a model in which the dependent variable is found to be spatially autocorrelated.
Contrary to our expectation, the regression analysis result of this variable is found to be statistically negative and significant at the 1% level of confidence.
A different suite of predictor variables was found to be important for the two models.
The order of importance of the variables was found to be pressure, temperature, JOME TMP molar ratio and catalyst.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com