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{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/1540429","sourcedb":"PMC","sourceid":"1540429","source_url":"https://www.ncbi.nlm.nih.gov/pmc/1540429","text":"Figure 5 Multiple linear regression result. (a)The best-fit line. Marks on the x-axis index the datasets, which are arrayed so that the estimated values of the dependent variable (the assessment scores) are in a straight line. For each dataset, the red dot is the assessment score, measured by the best correlation coefficient score nCC (see [9]) among all the tools, and the circle on the blue line shows the estimated value of the best-fit linear model. (b)Residues of the regression versus estimated nCC score. The x-axis is the estimated value of the dependent variable, the y-axis is the corresponding residue. This plot shows little indication of inequality of variance, which is an important assumption of linear regression.","divisions":[{"label":"label","span":{"begin":0,"end":8}}],"tracks":[]}