xi 2.15 2.00 2.05 2.10 2.20 2.25 2.30 2.35 2.40 2.45 2.50 f(xi) 7.3891 7:7679 | 8.1662 8.5849 9.0250 9.4877 9.9742 | 10.486 11.023 11.588 | 12.182 • Plot random data for this measurement. • Determine...


xi<br>2.15<br>2.00<br>2.05<br>2.10<br>2.20<br>2.25<br>2.30<br>2.35<br>2.40<br>2.45<br>2.50<br>f(xi) 7.3891 7:7679 | 8.1662 8.5849 9.0250 9.4877 9.9742 | 10.486 11.023 11.588 | 12.182<br>• Plot random data for this measurement.<br>• Determine the best curve fitting line using regression and interpolation method. Determine the<br>f(2.1059), f(2.099) and f(2.4989)<br>• Prepare table for f(xi), f

Extracted text: xi 2.15 2.00 2.05 2.10 2.20 2.25 2.30 2.35 2.40 2.45 2.50 f(xi) 7.3891 7:7679 | 8.1662 8.5849 9.0250 9.4877 9.9742 | 10.486 11.023 11.588 | 12.182 • Plot random data for this measurement. • Determine the best curve fitting line using regression and interpolation method. Determine the f(2.1059), f(2.099) and f(2.4989) • Prepare table for f(xi), f"(xi) in the range 2.00 < x="">< 2.50="" using="" backward,="" centred="" and="" forward="" difference="" formulas="" for="" 1*="" order="" accuracy.="" compare="" your="" results="" with="" the="" exact="" equation="" given="" by="" f(x)="e*." •="" derive="" expressions="" for="" the="" first,="" second="" and="" third="" derivatives="" of="" a="" function="" based="" on="" unequally="" spaced="">

Jun 11, 2022
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