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Relationships between chlorophyll indices (CI), pasture CP concentration and IVOMD were best described by simple linear and polynomial models, respectively.
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Statistical analysis of correlation between the immunoreactivity of LMO4 and LDB1 was conducted by simple linear regression and between primary site and metastasised lymph nodes by Wilcoxon's signed-rank test.
We found significant correlations between OHS and patient satisfaction and patient-perceived function, as assessed by simple linear regression and derived Pearson's coefficient.
The relationship between AFC and age in both Caucasian and African American women was best fit by simple linear regression and power [AFC = A + B × (age) C ] models.
This cannot be modeled by simple linear regression, and causes the inferior predictivity compared to support vector regression.
Variables that were potential correlates of blood pressure were assessed by simple linear regression and those that were associated were included in the adjusted regression models.
Associations between serum A-FABP and other parameters were first analyzed by simple linear regression analysis and then by multivariate logistic regression analysis.
In the analysis of relationship between cognitive scales and HIS, K-MMSE, CDR, and CDR-SB showed significance relationship with HIS, which were further verified by simple linear regression analysis and multiple linear regression analysis.
However, history of hypertension, history of diabetes, body mass index (BMI), history of hyperlipidemia, and family history of stroke did not have any significance (Table 4), which were further verified by simple linear regression analysis and multiple linear regression analysis.
In fact, the overall size (as determined by simple linear length measurements) and weight of M. m. helgolandicus specimens was not found to be larger than the mice of the neighboring mainland populations [ 13].
Nonelemental learning, however, which establishes unique links between specific events and is characterized by the ambiguity of events under consideration, cannot be explained by simple linear associative connections between the perceptual and motor systems, and these are the usual forms of learning that animals and humans confront.
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