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Title: Copper(II) Nitrate Concentration Analysis using Linear Regression
Prepared by: Stephen Joseph Boylan
Date: September 22, 2020
Class: UVA90325 Dayclass
This report shows the linear regression analysis of copper(II) nitrate ion in an
aqueous solution. The analysis is performed using the Google Chromebook
Sheet feature.
The data is presented in Table One. The calculations are presented in Table Two.
Chart One shows the calibration curve and included are the concentration for
sample A and sample B.
The concentration for sample A is 0.218 mol/L. The concentration for sample B
is 0.410 mol/L.
Table 01
Concentrati
on
Absorbance
Data
Point
Number
Concentration
mol/L
Absorbance
, fraction Calculated Residual
x y yc e
1 0 0 -0.148 0.148
2 0.25 0.41 0.474 -0.064
3 0.5 0.94 1.096 -0.156
4 0.75 1.63 1.718 -0.088
5 1 2.5 2.340 0.160
Sample A 0.218 0.394 0.218
Sample B 0.410 0.873 0.410
Table 02 Linear
Regression
Analysis
A count 5
B sum x 2.5
C sum y 5.48
D average x 0.5
E average y 1.096
F sum x^2 1.875
G sum y^2 9.9586
H sum xy 4.295
I parameter b 2.488
J parameter a -0.148
K parameter c 0.4019292605
L parameter d 0.05948553055
Copper(II) nitrate concentration analysis using linear regression  (1)

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Copper(II) nitrate concentration analysis using linear regression (1)

  • 1. Title: Copper(II) Nitrate Concentration Analysis using Linear Regression Prepared by: Stephen Joseph Boylan Date: September 22, 2020 Class: UVA90325 Dayclass This report shows the linear regression analysis of copper(II) nitrate ion in an aqueous solution. The analysis is performed using the Google Chromebook Sheet feature. The data is presented in Table One. The calculations are presented in Table Two. Chart One shows the calibration curve and included are the concentration for sample A and sample B. The concentration for sample A is 0.218 mol/L. The concentration for sample B is 0.410 mol/L. Table 01 Concentrati on Absorbance Data Point Number Concentration mol/L Absorbance , fraction Calculated Residual x y yc e 1 0 0 -0.148 0.148 2 0.25 0.41 0.474 -0.064 3 0.5 0.94 1.096 -0.156 4 0.75 1.63 1.718 -0.088 5 1 2.5 2.340 0.160 Sample A 0.218 0.394 0.218
  • 2. Sample B 0.410 0.873 0.410 Table 02 Linear Regression Analysis A count 5 B sum x 2.5 C sum y 5.48 D average x 0.5 E average y 1.096 F sum x^2 1.875 G sum y^2 9.9586 H sum xy 4.295 I parameter b 2.488 J parameter a -0.148 K parameter c 0.4019292605 L parameter d 0.05948553055