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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),

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


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. 

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

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