Chapter 5: Problem 15
Sketch the graph of the inequality. $$2 y-x \geq 4$$
Chapter 5: Problem 15
Sketch the graph of the inequality. $$2 y-x \geq 4$$
All the tools & learning materials you need for study success - in one app.
Get started for freeOptimal Cost A humanitarian agency can use two models of vehicles for a refugee rescue mission. Each model A vehicle costs $$\$ 1000$$ and each model B vehicle costs $$\$ 1500$$. Mission strategies and objectives indicate the following constraints. \- A total of at least 20 vehicles must be used. 4\. A model A vehicle can hold 45 boxes of supplies. A model B vehicle can hold 30 boxes of supplies. The agency must deliver at least 690 boxes of supplies to the refugee camp. \- A model A vehicle can hold 20 refugees. A model \(\mathrm{B}\) vehicle can hold 32 refugees. The agency must rescue at least 520 refugees. What is the optimal number of vehicles of each model that should be used? What is the optimal cost?
Graph the solution set of the system of inequalities. $$\left\\{\begin{aligned} x^{2}+y & \leq 4 \\ y & \geq 2 x \\ x & \geq-1 \end{aligned}\right.$$
Sketch the graph of the inequality. $$y-(x-3)^{3} \geq 0$$
Revenues Per Share The revenues per share (in dollars) for Panera Bread Company for the years 2002 to 2006 are shown in the table. In the table, \(x\) represents the year, with \(x=0\) corresponding to \(2003 .\) (Source: Panera Bread Company) $$ \begin{array}{|c|c|} \hline \text { Year, } x & \text { Revenues per share } \\ \hline-1 & 9.47 \\ \hline 0 & 11.85 \\ \hline 1 & 15.72 \\ \hline 2 & 20.49 \\ \hline 3 & 26.11 \\ \hline \end{array} $$ (a) Find the least squares regression parabola \(y=a x^{2}+b x+c\) for the data by solving the following system. \(\left\\{\begin{array}{r}5 c+5 b+15 a=83.64 \\\ 5 c+15 b+35 a=125.56 \\ 15 c+35 b+99 a=342.14\end{array}\right.\) (b) Use the regression feature of a graphing utility to find a quadratic model for the data. Compare the quadratic model with the model found in part (a). (c) Use either model to predict the revenues per share in 2008 and \(2009 .\)
Sailboats The total numbers \(y\) (in thousands) of sailboats purchased in the United States in the years 2001 to 2005 are shown in the table. In the table, \(x\) represents the year, with \(x=0\) corresponding to \(2003 .\) (Source: National Marine Manufacturers Association) $$ \begin{array}{|c|c|} \hline \text { Year, } x & \text { Number, } y \\ \hline-2 & 18.6 \\ \hline-1 & 15.8 \\ \hline 0 & 15.0 \\ \hline 1 & 14.3 \\ \hline 2 & 14.4 \\ \hline \end{array} $$ (a) Find the least squares regression parabola \(y=a x^{2}+b x+c\) for the data by solving the following system. \(\left\\{\begin{aligned} 5 c &+10 a=78.1 \\\ 10 b &=-9.9 \\ 10 c &+34 a=162.1 \end{aligned}\right.\) (b) Use the regression feature of a graphing utility to find a quadratic model for the data. Compare the quadratic model with the model found in part (a).
What do you think about this solution?
We value your feedback to improve our textbook solutions.