Question

Using Excel and least-square line (aka linear regression)
fitting, find the slope, y-intercept, and correlation coefficient
(R^{2}) for the calibration of Absorbance (A) vs.
Concentration (C in M) of Vitamin C at 246 nm UV light as outlined
for Beer’s Law: {C, A} = {{1.414, 81.10}, {1.359, 84.38}, {0.637,
28.30}, {1.829, 86.46}, {1.520, 94.40}, {0.260, 29.33}, {1.186,
44.50}, {1.509, 70.76}}. Formally plot the points with the
superimposed fitted line with the proper title, axis labels and
units, etc. What is the unknown molar concentration of Vitamin C if
the absorbance is measured to be 6.551? Did you interpolate or
extrapolate to arrive at your final concentration?

Answer #1

Part-A: **Solution**

**Part-B)** At the absorbance value of 6.551, we
can use a linear equation y = 0.017x + 0.1089 to find the
concentration of vitamin C i.e. = **0.2204**

And **Yes**, linear regression can be interpolated
or extrapolated to arrive at your final concentration

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