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 | 1 | 4 | 5 | 6 |
y | 51 | 42 | 33 | 26 |
Complete parts (a) through (e), given Σx = 16, Σy = 152, Σx2 = 78, Σy2 = 6130, Σxy = 540, and
r ≈ −0.966.
(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 |
(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 = 3 fouls over and above the opposing
team, what does the least-squares equation forecast for y?
(Round your answer to two decimal places.)
%
b)
ΣX = | 16.000 |
ΣY= | 152.000 |
ΣX2 = | 78.000 |
ΣY2 = | 6130.000 |
ΣXY = | 540.000 |
r = | -0.966 |
c)
X̅=ΣX/n = | 4.00 | |
Y̅=ΣY/n = | 38.00 | |
ŷ = | 57.429+-4.857x |
e)
coefficient of determination r2 = | 0.933 | |||
explained = | 93.3% | |||
unexplained= | 6.7% |
f)
predicted value =57.429+-4.857*3= | 42.86 |
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