Chapter 13: Problem 37
Sketch the surface given by the function. \(f(x, y)=e^{-x}\)
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Chapter 13: Problem 37
Sketch the surface given by the function. \(f(x, y)=e^{-x}\)
These are the key concepts you need to understand to accurately answer the question.
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Find the angle of inclination \(\theta\) of the tangent plane to the surface at the given point.\(x^{2}-y^{2}+z=0, \quad(1,2,3)\)
The endpoints of the interval over which distinct vision is possible are called the near point and far point of the eye. With increasing age, these points normally change. The table shows the approximate near points \(y\) in inches for various ages \(x\) (in years). $$ \begin{array}{|l|c|c|c|c|c|} \hline \text { Age, } x & 16 & 32 & 44 & 50 & 60 \\ \hline \text { Near Point, } y & 3.0 & 4.7 & 9.8 & 19.7 & 39.4 \\ \hline \end{array} $$ (a) Find a rational model for the data by taking the reciprocal of the near points to generate the points \((x, 1 / y)\). Use the regression capabilities of a graphing utility to find a least squares regression line for the revised data. The resulting line has the form \(\frac{1}{y}=a x+b\) Solve for \(y\). (b) Use a graphing utility to plot the data and graph the model. (c) Do you think the model can be used to predict the near point for a person who is 70 years old? Explain.
Give the standard form of the equation of the tangent plane to a surface given by \(F(x, y, z)=0\) at \(\left(x_{0}, y_{0}, z_{0}\right)\).
Use the result of Exercise 39 to find the least squares regression quadratic for the given points. Use the regression capabilities of a graphing utility to confirm your results. Use the graphing utility to plot the points and graph the least squares regression quadratic. $$ (-2,0),(-1,0),(0,1),(1,2),(2,5) $$
Use Lagrange multipliers to find the indicated extrema, assuming that \(x, y\), and \(z\) are positive. Minimize \(f(x, y, z)=x^{2}+y^{2}+z^{2}\) Constraint: \(x+y+z-6=0\)
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