2. Suppose that light is passing through an aqueous copper solution (copper solute dissolved in water). Beer's law says that the absorption of light (intensity units) is linearly related to the concentration of copper in the solution (ppm). Suppose that solutions of 0.5, 1, 5, 10, and 15 ppm are prepared and the light absorption is measured in a lab. These measurements were made in the Brandon University chemistry lab this term. Concentration (ppm) 0.5 1 10 15 Absorption 1.97 4.17 24.37 53.17 76.30 Plot these data points on a graph, determine the least squares line approximating these data, and sketch the line. Do this problem by first projecting a vector onto a column space.
2. Suppose that light is passing through an aqueous copper solution (copper solute dissolved in water). Beer's law says that the absorption of light (intensity units) is linearly related to the concentration of copper in the solution (ppm). Suppose that solutions of 0.5, 1, 5, 10, and 15 ppm are prepared and the light absorption is measured in a lab. These measurements were made in the Brandon University chemistry lab this term. Concentration (ppm) 0.5 1 10 15 Absorption 1.97 4.17 24.37 53.17 76.30 Plot these data points on a graph, determine the least squares line approximating these data, and sketch the line. Do this problem by first projecting a vector onto a column space.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:2. Suppose that light is passing through an aqueous copper solution (copper solute dissolved in
water). Beer's law says that the absorption of light (intensity units) is linearly related to the
concentration of copper in the solution (ppm). Suppose that solutions of 0.5, 1, 5, 10, and 15
ppm are prepared and the light absorption is measured in a lab. These measurements were
made in the Brandon University chemistry lab this term.
Concentration (ppm)
0.5
1
10
15
Absorption
1.97
4.17
24.37
53.17
76.30
Plot these data points on a graph, determine the least squares line approximating these data,
and sketch the line.
Do this problem by first projecting a vector onto a column space.
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