Note: Table 1 listed the volume of dopamine added in relation to each concentration analysed where the final volume was 15 ml, and the stock solution concentration of dopamine was 100 mM. Note 2: All graphs should have correct labels to X-and Y-axis, title to graph and tick lines. Table 1. Analytical response of dopamine obtained for each sensor (p1, Ip2 and 1p3). Dopamine Sample 1p1 (MA) Ip2 (UA) Ip3 (A) VOLUME (Addition) 0.003 1.22 1.35 1.35 0.006 2.91 2.98 3.22 0.010 5.28 4.33 4.84 0.013 6.91 6.26 7.18 0.016 8.53 8.29 8.90 0.019 10.26 9.95 10.90 0.022 11.85 12.05 13.20 0.026 13.61 14.42 14.83 0.029 15.64 16.22 16.39 0.032 18.45 18.18 18.65 (a) Calculate the concentration range of dopamine analysed in UM. (b) Plot the calibration curve as a standard addition calibration curve, fit a linear model, and define the equation of the line. (c) Add error bars to the plot based on standard deviation (S) values. Comment on the validity of the calibration curves obtained. (d) Justify the feasibility of the calculation and calculate the concentration of dopamine for the analytical response indicated below in table 2 (K, L and M). Table 2. Unknown concentration of dopamine and their respective analytical response for each sensor (Ip1, Ip2 and 1p3). Concentration of Ip1 (MA) Ip2 (UA) Ip3 (UA) Dopamine K 0.17 0.22 0.18 L 9.01 9.17 9.11 M 27.81 27.97 27.99 (e) For each concentration (calculated from the volume listed on table 1) use the linear regression line to calculate the predicted value (model value, Ym), and then the residuals (Y* - Ym). Plot concentration against residuals using a Scatter with only markers plot. (f) Looking at the residuals plot, answer the following question: is there any bias (i.e., systematic pattern) in the residuals plot? Note: Table 1 listed the volume of dopamine added in relation to each concentration analysed where the final volume was 15 ml, and the stock solution concentration of dopamine was 100 mM. Note 2: All graphs should have correct labels to X-and Y-axis, title to graph and tick lines. Table 1. Analytical response of dopamine obtained for each sensor (p1, Ip2 and 1p3). Dopamine Sample 1p1 (MA) Ip2 (UA) Ip3 (A) VOLUME (Addition) 0.003 1.22 1.35 1.35 0.006 2.91 2.98 3.22 0.010 5.28 4.33 4.84 0.013 6.91 6.26 7.18 0.016 8.53 8.29 8.90 0.019 10.26 9.95 10.90 0.022 11.85 12.05 13.20 0.026 13.61 14.42 14.83 0.029 15.64 16.22 16.39 0.032 18.45 18.18 18.65 (a) Calculate the concentration range of dopamine analysed in UM. (b) Plot the calibration curve as a standard addition calibration curve, fit a linear model, and define the equation of the line. (c) Add error bars to the plot based on standard deviation (S) values. Comment on the validity of the calibration curves obtained. (d) Justify the feasibility of the calculation and calculate the concentration of dopamine for the analytical response indicated below in table 2 (K, L and M). Table 2. Unknown concentration of dopamine and their respective analytical response for each sensor (Ip1, Ip2 and 1p3). Concentration of Ip1 (MA) Ip2 (UA) Ip3 (UA) Dopamine K 0.17 0.22 0.18 L 9.01 9.17 9.11 M 27.81 27.97 27.99 (e) For each concentration (calculated from the volume listed on table 1) use the linear regression line to calculate the predicted value (model value, Ym), and then the residuals (Y* - Ym). Plot concentration against residuals using a Scatter with only markers plot. (f) Looking at the residuals plot, answer the following question: is there any bias (i.e., systematic pattern) in the residuals plot