Chapter 13: Problem 13
Use the regression capabilities of a graphing utility or a spreadsheet to find the least squares regression line for the given points. $$ (-3,4),(-1,2),(1,1),(3,0) $$
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Chapter 13: Problem 13
Use the regression capabilities of a graphing utility or a spreadsheet to find the least squares regression line for the given points. $$ (-3,4),(-1,2),(1,1),(3,0) $$
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Evaluate the double integral. $$ \int_{0}^{\infty} \int_{0}^{\infty} e^{-(x+y) / 2} d y d x $$
A company sells two products whose demand functions are given by \(x_{1}=500-3 p_{1}\) and \(x_{2}=750-2.4 p_{2}\) So, the total revenue is given by \(R=x_{1} p_{1}+x_{2} p_{2}\) Estimate the average revenue if the price \(p_{1}\) varies between \(\$ 50\) and \(\$ 75\) and the price \(p_{2}\) varies between \(\$ 100\) and \(\$ 150\).
Use a symbolic integration utility to evaluate the double integral. $$ \int_{0}^{1} \int_{0}^{2} e^{-x^{2}-y^{2}} d x d y $$
Evaluate the double integral. $$ \int_{0}^{2} \int_{0}^{6 x^{2}} x^{3} d y d x $$
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. $$ (1,7.5),(2,7),(3,7),(4,6),(5,5),(6,4.9) $$
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