Chapter 13: Problem 18
Evaluate the double integral. $$ \int_{0}^{1} \int_{y}^{2 y}\left(1+2 x^{2}+2 y^{2}\right) d x d y $$
Chapter 13: Problem 18
Evaluate the double integral. $$ \int_{0}^{1} \int_{y}^{2 y}\left(1+2 x^{2}+2 y^{2}\right) d x d y $$
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Get started for freeThe global numbers of personal computers \(x\) (in millions) and Internet users \(y\) (in millions) from 1999 through 2005 are shown in the table. $$ \begin{aligned} &\begin{array}{|l|c|c|c|c|} \hline \text { Year } & 1999 & 2000 & 2001 & 2002 \\ \hline \text { Personal computers, } x & 394.1 & 465.4 & 526.7 & 575.5 \\ \hline \text { Internet users, } y & 275.5 & 390.3 & 489.9 & 618.4 \\ \hline \end{array}\\\ &\begin{array}{|l|c|c|c|} \hline \text { Year } & 2003 & 2004 & 2005 \\ \hline \text { Personal computers, } x & 636.6 & 776.6 & 808.7 \\ \hline \text { Internet users, } y & 718.8 & 851.8 & 982.5 \\ \hline \end{array} \end{aligned} $$ (a) Use a graphing utility or a spreadsheet to create a scatter plot of the data. (b) Use the regression capabilities of a graphing utility or a spreadsheet to find an appropriate model for the data. (c) Explain why you chose the type of model that you created in part (b).
Use a double integral to find the area of the region bounded by the graphs of the equations. $$ x y=9, y=x, y=0, x=9 $$
Use the regression capabilities of a graphing utility or a spreadsheet to find the least squares regression quadratic for the given points. Then plot the points and graph the least squares regression quadratic. $$ (-2,0),(-1,0),(0,1),(1,2),(2,5) $$
Plot the points and determine whether the data have positive, negative, or no linear correlation (see figures below). Then use a graphing utility to find the value of \(r\) and confirm your result. The number \(r\) is called the correlation coefficient. It is a measure of how well the model fits the data. Correlation coefficients vary between \(-1\) and 1, and the closer \(|r|\) is to 1, the better the model. $$ (1,4),(2,6),(3,8),(4,11),(5,13),(6,15) $$
Use the regression capabilities of \(a\) graphing utility or a spreadsheet to find any model that best fits the data points. $$ (0,0.5),(1,7.6),(3,60),(4.2,117),(5,170),(7.9,380) $$
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