The document presents a linear regression analysis correlating response intensity (r.i.) with concentration levels in ppm, detailing parameters like the instrument's intercept and slope, and their respective uncertainties. It includes statistical measures such as residual sum of squares, Pearson's correlation coefficient, and R-squared values to assess the fit of the model. Data points from varying concentrations are also provided, showing r.i. values across tested concentrations.

1. 1
4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
R.I.
Linear Fit of Sheet1
R.I.
Concentration (ppm)
Equation y = a + b*x
Plot R.I.
Weight Instrumental
Intercept -0.18511 ± 0.74115
Slope 0.09637 ± 0.11374
Residual Sumof Squares 7.93319
Pearson's r 0.35433
R-Square (COD) 0.12555
Adj. R-Square -0.04934

2. Concentration R.I. 0.25
ppm
4.44 0.3083 0.25
5.7 0.3212 0.25
6.31 0.3987 0.25
6.64 0.09113 0.25
6.77 0.4003 0.25
7.16 1.0809 0.25
8 0.4424 0.25