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Linear regression and correlation analysis indicated that an increased GLUT4-GFP signal correlates well with an elevated glucose uptake into the used cells.
His quest for the laws that governed how these differences were transmitted from one generation to the next led to what Brookes justly calls "two of Galton's greatest gifts to science": regression and correlation.
Hypothesis tests are also conducted in regression and correlation analysis to determine if the regression relationship and the correlation coefficient are statistically significant (see below Regression and correlation analysis).
Some of these methods are used primarily for single-variable studies, while others, such as regression and correlation analysis, are used to make inferences about relationships among two or more variables.
Multiple regression and correlation analysis were used to analyze the data.
Linear regression and correlation analyses were carried out using Microsoft Office Excel 2003.
Regression and correlation methods constitute the basis for the general linear model (GLM).
Also regression and correlation analysis of various factors and religiosity would help map the picture completely.
Linear regression, and correlation according to Pearson was performed for each cannula.
In this paper, however, the importance of using a combination of the linear regression and correlation factors is highlighted.
Box-fitting least squares (BLS) was applied and the corresponding linear regression and correlation coefficients are shown in this figure.
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