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The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.

The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.

The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.

The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.

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The PEARSON(array1, array2) function returns the Pearson product-moment correlation coefficient between two arrays of data. See related links for specific instructions.


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The absorption coefficient of iron depends on the specific conditions, such as the wavelength of the incident radiation or the form of iron being used. In general, iron has a moderate absorption coefficient, meaning it can absorb a significant amount of radiation but may not be as efficient as some other materials. Measurements must be taken under specific conditions to accurately determine the absorption coefficient for a given application.


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The coefficient of friction between steel and aluminum typically ranges from 0.47 to 1.0, depending on the specific materials and surface conditions.


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