Given the data

use least-squares regression to fit (a) a straight line, (b) a power equation, (c) a saturation-growth-rate equation, and (d) a parabola. For (b) and (c), employ transformations to linearize the data. Plot the data along with all the curves. Is any one of the curves superior? If so, justify.

Thanks for the help in advance !

15.15 Given the data r 5 10 15 20 25 30 35 40 45 50 y 17 24 31 33 37 37 40 40 42 41