![]() A value of 1.00 indicates a nearly perfect fit. The correlation coefficient, \( r \), indicates how closely the data points match up with (or fit) the regression line. Note: One indicator of the quality of your data is the size of \( b \). It is a very small value if the regression line passes through or near the origin. The linear-regression statistics for these two data columns are displayed for the equation in the form of \ where \( x \) is concentration, \( y \) is absorbance, \( m \) is the slope, and \( b \) is the y-intercept. In the pop-up window, under General Equation: select Linear as the fit equation.From the Analyze menu choose Curve Fit.In the Axes Options tab, change Scaling to Autoscale From 0, and select Done.From the Options menu, choose Graph Options.Concentration with a Linear Regression Curve Concentration with absorbance at the desired wavelength(s).ĭisplay a Graph of Absorbance vs. Two graphs are now displayed on the screen, a Full spectra graph and a graph of Absorbance vs.Locate an absorbance peak of interest on the graph to the right and click on that peak value to select its wavelength. From the drop-down menu, change Single 10 nm Band to Individual Wavelengths. Enter Column Name (Concentration), Short Name (Conc.), and Units (mol/L) (they should be entered for you by default). In the pop-up window, change Collection Mode to Absorbance vs. ![]() To set up the data collection mode and select a wavelength for analysis, select the rainbow-colored Configure Spectrometer icon to the left of the green Collect button.From the full spectra, determine the optimal wavelength for creating this standard curve.Set up Spectrophotometer for Measuring Absorbance vs. ![]()
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