The problem has three parts: (a) Find the linear regression equation for the given data set and estimate the value of $x$ when $y=9$. (b) Determine the number of ways to select a coach, a trainer, and an assistant coach from 10 officials. (c) Given the profit function $P(x) = 2x^2 + 40x + 2000$ and the cost function $C(x) = x^2 - 30x + 500$, evaluate the marginal revenue at $x=2$.

Applied MathematicsLinear RegressionCombinatoricsPermutationsMarginal RevenueCalculusDerivatives
2025/6/4

1. Problem Description

The problem has three parts:
(a) Find the linear regression equation for the given data set and estimate the value of xx when y=9y=9.
(b) Determine the number of ways to select a coach, a trainer, and an assistant coach from 10 officials.
(c) Given the profit function P(x)=2x2+40x+2000P(x) = 2x^2 + 40x + 2000 and the cost function C(x)=x230x+500C(x) = x^2 - 30x + 500, evaluate the marginal revenue at x=2x=2.

2. Solution Steps

(a) Linear Regression and Estimation:
The data points are (2,3)(2, 3), (4,7)(4, 7), (6,5)(6, 5), (8,10)(8, 10).
First, calculate the means of xx and yy:
xˉ=2+4+6+84=204=5\bar{x} = \frac{2+4+6+8}{4} = \frac{20}{4} = 5
yˉ=3+7+5+104=254=6.25\bar{y} = \frac{3+7+5+10}{4} = \frac{25}{4} = 6.25
Next, calculate the slope mm of the linear regression equation:
m=i=1n(xixˉ)(yiyˉ)i=1n(xixˉ)2m = \frac{\sum_{i=1}^{n}(x_i - \bar{x})(y_i - \bar{y})}{\sum_{i=1}^{n}(x_i - \bar{x})^2}
m=(25)(36.25)+(45)(76.25)+(65)(56.25)+(85)(106.25)(25)2+(45)2+(65)2+(85)2m = \frac{(2-5)(3-6.25) + (4-5)(7-6.25) + (6-5)(5-6.25) + (8-5)(10-6.25)}{(2-5)^2 + (4-5)^2 + (6-5)^2 + (8-5)^2}
m=(3)(3.25)+(1)(0.75)+(1)(1.25)+(3)(3.75)(3)2+(1)2+(1)2+(3)2m = \frac{(-3)(-3.25) + (-1)(0.75) + (1)(-1.25) + (3)(3.75)}{(-3)^2 + (-1)^2 + (1)^2 + (3)^2}
m=9.750.751.25+11.259+1+1+9m = \frac{9.75 - 0.75 - 1.25 + 11.25}{9 + 1 + 1 + 9}
m=1920=0.95m = \frac{19}{20} = 0.95
Now, find the y-intercept bb:
b=yˉmxˉb = \bar{y} - m\bar{x}
b=6.250.95(5)=6.254.75=1.5b = 6.25 - 0.95(5) = 6.25 - 4.75 = 1.5
The linear regression equation is y=0.95x+1.5y = 0.95x + 1.5.
To estimate the value of xx when y=9y = 9, we solve for xx:
9=0.95x+1.59 = 0.95x + 1.5
0.95x=91.50.95x = 9 - 1.5
0.95x=7.50.95x = 7.5
x=7.50.957.89x = \frac{7.5}{0.95} \approx 7.89
(b) Combinations:
We need to select 3 officials (coach, trainer, and assistant coach) from 10 officials. Since the order matters (each position is distinct), we use permutations.
The number of permutations of nn objects taken rr at a time is given by:
P(n,r)=n!(nr)!P(n, r) = \frac{n!}{(n-r)!}
In this case, n=10n = 10 and r=3r = 3.
P(10,3)=10!(103)!=10!7!=10×9×8=720P(10, 3) = \frac{10!}{(10-3)!} = \frac{10!}{7!} = 10 \times 9 \times 8 = 720
(c) Marginal Revenue:
Given the profit function P(x)=2x2+40x+2000P(x) = 2x^2 + 40x + 2000 and cost function C(x)=x230x+500C(x) = x^2 - 30x + 500.
The revenue function R(x)R(x) is related to the profit and cost functions by P(x)=R(x)C(x)P(x) = R(x) - C(x), thus R(x)=P(x)+C(x)R(x) = P(x) + C(x).
R(x)=(2x2+40x+2000)+(x230x+500)=3x2+10x+2500R(x) = (2x^2 + 40x + 2000) + (x^2 - 30x + 500) = 3x^2 + 10x + 2500
The marginal revenue is the derivative of the revenue function, R(x)R'(x).
R(x)=ddx(3x2+10x+2500)=6x+10R'(x) = \frac{d}{dx}(3x^2 + 10x + 2500) = 6x + 10
Now, evaluate the marginal revenue at x=2x = 2:
R(2)=6(2)+10=12+10=22R'(2) = 6(2) + 10 = 12 + 10 = 22

3. Final Answer

(a) The linear regression equation is y=0.95x+1.5y = 0.95x + 1.5. The estimated value of xx when y=9y=9 is approximately 7.897.89.
(b) There are 720 ways to select a coach, a trainer, and an assistant coach.
(c) The marginal revenue at x=2x=2 is
2
2.

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