help me ESTIONS 2 112 1. Why is R2 important for a reliable standard curve? What

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ESTIONS 2 112 1. Why is R2 important for a reliable standard curve? What would you consider to be an acceptable correlation> 0.85?> 0.95 >0.985? Give examples when each is appropriate. (10 points) 2. In developing an assay (method to measure concentration or amount of a substance), why is it important to read your standard and unknown samples at the wavelength of maximum absorbane for that compound? (5 points) m absorbance 3. If your percent error in Table 3 is greater than 5%, explain. (5 points)

Explanation / Answer

The R2 value (or the Pearson Coefficient of Determination) is an indicator of how well your data fits a line or curve. The closer the R2 value is to 1 the better the data fits the curve.

In other words, the closer the R2 value is to 1 the more likely your data points are solutions to the equation that defines your curve. So if you have a line with the equation y = mx + c, the closer your R2 value is to 1 the more likely that your data points x and y are actual solutions to the equation. This indicates how well your data fits the model you are testing.

In statistics, the correlation coefficient r measures the strength and direction of a linear relationship between two variables on a scatterplot. The value of r is always between +1 and –1.

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