regression line, residuals, linearity
To start,
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Residuals are the difference between the regression line ("model") and the experimental points. If the hypothesis of linearity (justifying the linear regression) was correct, then the residuals are completely random |
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Has significance only if the "linear" hypothesis was good, see following images... |
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So, let us be carefull with the correlation coefficient...
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Excel
tools for linear regression :
(in
french: DROITEREG)
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