Chapter 13: Problem 17
Use the regression capabilities of a graphing utility or a spreadsheet to find the least squares regression line for the given points. $$ (0,6),(4,3),(5,0),(8,-4),(10,-5) $$
Chapter 13: Problem 17
Use the regression capabilities of a graphing utility or a spreadsheet to find the least squares regression line for the given points. $$ (0,6),(4,3),(5,0),(8,-4),(10,-5) $$
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Get started for freeUse a double integral to find the area of the region bounded by the graphs of the equations. $$ x y=9, y=x, y=0, x=9 $$
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. $$ (1,36),(2,10),(3,0),(4,4),(5,16),(6,36) $$
Use a symbolic integration utility to evaluate the double integral. $$ \int_{1}^{2} \int_{y}^{2 y} \ln (x+y) d x d y $$
Use a symbolic integration utility to evaluate the double integral. $$ \int_{0}^{4} \int_{0}^{y} \frac{2}{(x+1)(y+1)} d x d y $$
Set up the integral for both orders of integration and use the more convenient order to evaluate the integral over the region \(R\). $$ \begin{aligned} &\int_{R} \int \frac{y}{1+x^{2}} d A\\\ &R: \text { region bounded by } y=0, y=\sqrt{x}, x=4 \end{aligned} $$
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