20.1 Find two tables of data in an engineering textbook or engineering website. Plot each (with '*' at data points) and decide if the data is best represented by a polynomial interpolant, spline interpolant, or least squares fit polynomial. Label the axes and include a title. Turn in the best plot of each. Indicate the source and meaning of the data. 20.2 The following table contains information from a chemistry experiment in which the concentration of a product was measured at one minute intervals: Time 0 1 2 3 4 5 6 7 Concentration 3.033 3.306 3.672 3.929 4.123 4.282 4.399 4.527 Plot this data. Suppose it is known that this chemical reaction should follow the law: c = a - bexp(-0.2t). Following the example in the notes about the drag coefficients, change one of the variables so that the law is a linear function. Then plot the new variables and use the linear fit option to estimate a and b. What will be the eventual concentration? Finally, plot the graph of a - bexp(-0.2t) on the interval (0,15] (as a solid curve), along with the data from the table (using '*')