Table 1.

Linear regression of the calibration curves for (1) AuNP-PEG-COOH and (2) AlPcS₄Cl.

(1) ŷ = 0.00265X − 0.0027	(2) ŷ = 0.00344X + 0.011
Sum of X = 150 Sum of Y = 0.384 Mean X = 30 Mean Y = 0.0768 Sum of squares (SSX) = (X − Mx)2 = 1000 Sum of products (SP) = (X − Mx)(Y − My) = 2.65	Sum of X = 150 Sum of Y = 0.571 Mean X = 30 Mean Y = 0.1142 Sum of squares (SSX) = (X − Mx)2 = 1000 Sum of products (SP) = (X − Mx)(Y − My) = 3.44
Regression Equation = ŷ = bX + a b = SP/SSX = 2.65/1000 = 0.00265 a = MY − bMX = 0.08 − (0 × 30) = −0.0027 ŷ = 0.00265X − 0.0027	Regression Equation = ŷ = bX + a b = SP/SSX = 3.44/1000 = 0.00344 a = MY − bMX = 0.11 − (0 × 30) = 0.011 ŷ = 0.00344X + 0.011