et x be per capita income in thousands of dollars. Let y be the number of medical doctors per 10,000 residents. Six small cities in Oregon gave the following information about x and y. x 8.7 9.7 9.8 8.0 8.3 8.7 y 9.8 18.6 20.8 10.2 11.4 13.1 Complete parts (a) through (e), given Σx = 53.2, Σy = 83.9, Σx2 = 474.4, Σy2 = 1280.25, Σxy = 759.71, and r ≈ 0.9303. (a) Draw a scatter diagram displaying the data. (b) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to four decimal places.) Σx = Σy = Σx2 = Σy2 = Σxy = r = (c) Find x, and y. Then find the equation of the least-squares line = a + bx. (Round your answer to four decimal places.) x = y = = + x
et x be per capita income in thousands of dollars. Let y be the number of medical doctors per 10,000 residents. Six small cities in Oregon gave the following information about x and y. x 8.7 9.7 9.8 8.0 8.3 8.7 y 9.8 18.6 20.8 10.2 11.4 13.1 Complete parts (a) through (e), given Σx = 53.2, Σy = 83.9, Σx2 = 474.4, Σy2 = 1280.25, Σxy = 759.71, and r ≈ 0.9303. (a) Draw a scatter diagram displaying the data. (b) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to four decimal places.) Σx = Σy = Σx2 = Σy2 = Σxy = r = (c) Find x, and y. Then find the equation of the least-squares line = a + bx. (Round your answer to four decimal places.) x = y = = + x
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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et x be per capita income in thousands of dollars. Let y be the number of medical doctors per 10,000 residents. Six small cities in Oregon gave the following information about x and y.
x | 8.7 | 9.7 | 9.8 | 8.0 | 8.3 | 8.7 |
y | 9.8 | 18.6 | 20.8 | 10.2 | 11.4 | 13.1 |
Complete parts (a) through (e), given Σx = 53.2, Σy = 83.9, Σx2 = 474.4, Σy2 = 1280.25, Σxy = 759.71, and r ≈ 0.9303.
(a) Draw a scatter diagram displaying the data.
(b) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample
Σx = | |
Σy = | |
Σx2 = | |
Σy2 = | |
Σxy = | |
r = |
(c) Find x, and y. Then find the equation of the least-squares line = a + bx. (Round your answer to four decimal places.)
x | = | |
y | = | |
= | + x |
(d) Graph the least-squares line. Be sure to plot the point (x, y) as a point on the line.
(e) Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r2 to four decimal places. Round your answers for the percentages to two decimal place.)
r2 = | |
explained | % |
unexplained | % |
(f) Suppose a small city in Oregon has a per capita income of 8.1 thousand dollars. What is the predicted number of M.D.s per 10,000 residents? (Round your answer to two decimal places.)
M.D.s per 10,000 residents
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