(a) Draw a scatter diagram displaying the data.
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(b) Verify the given sums Σ
x, Σ
y, Σ
x2, Σ
y2, Σ
xy, and the value of the sample correlation coefficient
r. (Round your value for
r to three decimal places.)
Σx = |
|
Σy = |
|
Σx 2 = |
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Σy 2 = |
|
Σxy = |
|
r = |
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(c) Find x, and y. Then find the equation of the least-squares line =
a +
bx. (Round your answers for x and y to two decimal places. Round your answers for
a and
b to three decimal places.)
(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 three decimal places. Round your answers for the percentages to one decimal place.)
r 2 = |
|
explained |
% |
unexplained |
% |
(f) Suppose a small city in Oregon has a per capita income of 9.3 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