Multiple regression and correlation analysis were used to analyze the data.
It employs multiple regression and correlation analyses as tools to assess the effects of two or more independent factors on the dependent variables [23].
The results were also compared with those calculated by commonly used linear CBR approaches: Multiple Regression Analysis, Correlation Analysis, and the k-NN approach.
In this study, the surface properties of and work required to remove 12 commercially available and developmental catheters from a model biological medium (agar), a measure of catheter lubricity, were characterised and the relationships between these properties were examined using multiple regression and correlation analysis.
Linear multiple regression and correlation analyses reveal several important findings regarding the predictive power of brain volume changes in lesioned animals.
Contrast images were analyzed at the second 'random effects' level using one-sample t-tests, for revealing the main effect of recognition and condition-specific activation, and multiple regression (simple correlation), for revealing linear increases in activation across conditions [ 26].
However, performing a multiple regression (partial correlation) has the advantage of identifying only activity that is unique to each state, and thus reduces components of the signal that are common across states, which may otherwise obscure state-specific effects.
Classification and Regression Trees (CART), Random Forest (RF) [40], multiple linear regression, correlation, and logistic regression analyses were carried out on untransformed data, whereas log-transformed data were used for t-testing.
The selected parameters were used for developing QSBR equations using the multiple linear regression correlation (MLR) method, and the goodness of fit and statistical significance of the models were evaluated using R (coefficient of determination), F (variance ratio), and the MPD (mean percentage deviation) values calculated using: (1) MPD = 100 N ∑ | Y pred.
Spearman's rank correlation and multiple regression showed direct correlation of monthly RSV cases with rain days and inverse correlation with temperature.
