Q1. When using the transformed data model to find the constants of the regression model to best fitthe sum of the square of the residuals that is minimized is
Q2. It is suspected from theoretical considerations that the rate of water flow from a firehouse is proportional to some power of the nozzle pressure. Assume pressure data is more accurate. You are transforming the data.
The exponent of the power of the nozzle pressure in the regression model F=ap^{b} most nearly is 0.497 0.556 0.578 0.678
Q3. The transformed data model for the stressstrain curve for concrete in compression, where is the stress and is the strain is
Q4. In nonlinear regression, finding the constants of the model requires solving simultaneous nonlinear equations. However in the exponential model that is best fit to the value of b can be found as a solution of a nonlinear equation. That equation is given by
Q5. There is a functional relationship between the mass densityof air and the altitude above the sea level
In the regression model, the constant is found as . Assuming the mass density of air at the top of the atmosphere is of the mass density of air at sea level. The altitude in kilometers of the top of the atmosphere most nearly is 46.2 46.6 49.7 52.5
Q6. A steel cylinder at 80^{o}F of length 12" is placed in a commercially available liquid nitrogen bath 315^{o}F If the thermal expansion coefficient of steel behaves as a second order polynomial of temperature and the polynomial is found by regressing the data below,
the reduction in the length of the cylinder in inches most nearly is 0.0219 0.0231 0.0235 0.0307
Multiple choice questions on other topics

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Copyrights: University of South Florida, 4202 E Fowler Ave, Tampa, FL 336205350. All Rights Reserved. Questions, suggestions or comments, contact kaw@eng.usf.edu This material is based upon work supported by the National Science Foundation under Grant# 0126793, 0341468, 0717624, 0836981, 0836916, 0836805, 1322586. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Other sponsors include Maple, MathCAD, USF, FAMU and MSOE. Based on a work at http://mathforcollege.com/nm. Holistic Numerical Methods licensed under a Creative Commons AttributionNonCommercialNoDerivs 3.0 Unported License. 
