Chapter 13: Problem 36
Find three positive numbers \(x, y\), and \(z\) that satisfy the given conditions. The sum is 1 and the sum of the squares is a minimum.
/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none}
Learning Materials
Features
Discover
Chapter 13: Problem 36
Find three positive numbers \(x, y\), and \(z\) that satisfy the given conditions. The sum is 1 and the sum of the squares is a minimum.
All the tools & learning materials you need for study success - in one app.
Get started for free
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. $$ (0,0),(2,2),(3,6),(4,12) $$
Sketch the region \(R\) whose area is given by the double integral. Then change the order of integration and show that both orders yield the same area. $$ \int_{0}^{1} \int_{y^{2}}^{\sqrt[3]{y}} d x d y $$
Evaluate the partial integral. $$ \int_{0}^{x}(2 x-y) d y $$
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. $$ (1,3),(2,6),(3,2),(4,3),(5,9),(6,1) $$
Evaluate the partial integral. $$ \int_{-\sqrt{1-y^{2}}}^{\sqrt{1-y^{2}}}\left(x^{2}+y^{2}\right) d x $$
What do you think about this solution?
We value your feedback to improve our textbook solutions.