A pump is tested for power required to deliver water at specified height. The results are given in the table below. Use least-squares regression to fit: 1. A straight line 2. A power equation P= a Hb...


A pump is tested for power required to deliver water at specified height. The results are given<br>in the table below. Use least-squares regression to fit:<br>1. A straight line<br>2. A power equation P= a Hb<br>3. A saturation-growth-rate equation<br>4. A parabolic equation<br>Plot the data along with all the curves. Determine and Syx.<br>Is any one of the curves superior? If so, justify.<br>H.<br>2.7<br>6.6<br>11.4<br>18.2<br>21.1<br>27.1<br>33.9<br>37.4<br>42.7<br>46<br>P.<br>18<br>27<br>34<br>31<br>43<br>37<br>57<br>60<br>66<br>51<br>

Extracted text: A pump is tested for power required to deliver water at specified height. The results are given in the table below. Use least-squares regression to fit: 1. A straight line 2. A power equation P= a Hb 3. A saturation-growth-rate equation 4. A parabolic equation Plot the data along with all the curves. Determine and Syx. Is any one of the curves superior? If so, justify. H. 2.7 6.6 11.4 18.2 21.1 27.1 33.9 37.4 42.7 46 P. 18 27 34 31 43 37 57 60 66 51

Jun 05, 2022
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