Final answer:
To answer this question, you need to have the scatter plot of the data, calculate the slope and intercept, find the r-squared value, and determine εb based on the calibration curve and the Beer-Lambert equation.
Step-by-step explanation:
To answer this question, you need to have the scatter plot of the data and the equation of the least-squares regression line. Once you have these, you can calculate the slope and intercept.
The slope represents the change in the dependent variable per unit change in the independent variable. The intercept represents the value of the dependent variable when the independent variable is zero.
To calculate the r-squared value, you need to find the sum of the squared residuals and the total sum of squares. The r-squared value is the ratio of the sum of the squared residuals to the total sum of squares. It represents the proportion of the variation in the dependent variable that is explained by the independent variable.
Based on the calibration curve and the Beer-Lambert equation, the value of εb can be found. The Beer-Lambert equation relates the absorbance of a solution to the concentration of the solute and the molar absorptivity.
Therefore, the correct answer is d) All of the above.