You are the foreman of the Bar-S cattle ranch in Colorado. A neighboring ranch has calves for sale, and you are going to buy some calves to add to the Bar-S herd. How much should a healthy calf weigh? Let x be the age of the calf (in weeks), and let y be the weight of the calf (in kilograms).
x | 1 | 5 | 8 | 16 | 26 | 36 |
y | 44 | 53 | 71 | 100 | 150 | 200 |
Complete parts (a) through (e), given Σx = 92, Σy = 618, Σx2 = 2318, Σy2 = 82,286, Σxy = 13,577, and r ≈ 0.997.(a) Draw a scatter diagram displaying the data.
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Submission 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 three 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 answers for x and y to two decimal places.
Round your answers for a and b to three 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 three decimal places. Round your answers for the percentages to
one decimal place.)
r2 = | |
explained | % |
unexplained | % |
(f) The calves you want to buy are 13 weeks old. What does the
least-squares line predict for a healthy weight? (Round your answer
to two decimal places.)
kg
5.
–/16 POINTSBBUNDERSTAT12 9.2.010.
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It is thought that basketball teams that make too many fouls in a game tend to lose the game even if they otherwise play well. Let x be the number of fouls more than (i.e., over and above) the opposing team. Let y be the percentage of times the team with the larger number of fouls wins the game.
x | 0 | 2 | 5 | 6 |
y | 49 | 45 | 33 | 26 |
Complete parts (a) through (e), given Σx = 13, Σy = 153, Σx2 = 65, Σy2 = 6191, Σxy = 411, and
r ≈ −0.982.
(a) Draw a scatter diagram displaying the data.
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Horizontal Parabola
Point
No Solution
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Clear Graph
Delete Layer
Fill
WebAssign Graphing Tool
Graph LayersToggle Open/Closed
(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 three 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 answers for x and y to two decimal places.
Round your answers for a and b to three 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 three decimal places. Round your answers for the percentages to
one decimal place.)
r2 = | |
explained | % |
unexplained | % |
(f) If a team had x = 4 fouls over and above the opposing
team, what does the least-squares equation forecast for y?
(Round your answer to two decimal places.)
%
From the data given we get
Where the last row gives the sums corresponding to each column, which verifies the given sums as well
The scatter plot is shown below
Using the data we have
So the equation of regression line
Using the above data above we get
Graph the least-squares line is shown below
As,
So 99.40% is explained while 0.60% unexplained
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