A baseball team plays in a stadium that holds 64000 spectators. with the ticket price at $9 the average attendance has been 26000. when the price dropped to $8, the average attendance rose to 32000. assume that attendance is linearly related to ticket price. what ticket price would maximize revenue?

Respuesta :

The ticket price would maximize revenue is p(41,125) = $6.58 that attendance is linearly related to ticket price.

We need to assume that the relationship is linear.

a) Remember that a linear relation is written as:

y = m*x + b              (Equation-1)

then we will have:

p(x) = m*x + b

where m is the slope and b is the y-intercept.

If we know that the line passes through the points (a, b) and (c, d), then the slope can be written as:

y = (d - b)/(c - a)

In this case, we know that:

If the ticket has a price of $9, the average attendance is 26,000

Then we can define this with the point,

= (26,000 , $9)

We also know that when the price is $8, the attendance is 32,000

This can be represented with the point,

= (32,000, $8)

Then we can find the slope as,

m = ($8 - $9)/(32,000 - 26,000)

m = -$1/6,000

m = -$0.00016

We can substitute m value in equation-1,

y = (-$0.00016)*x + b

To find the value of b we can use one of the known points.

For example, the point (26,000 , $9) means that when x = 26,000, the price is $9 then,

$9 = (-$0.00016)*26,000 + b

$9 = -$4.16+ b

$9 + $4.16 = b

$13.16 = b

Then the equation is,

p(x) = (-$0.00016)*x + $13.16

b) We want to find the ticket price such that it maximizes the revenue.

The revenue will be equal to the price per ticket, p(x) times the total attendance, x.

Then the revenue can be written as,

r(x) = x*p(x) = x*( (-$0.00016)*x + $13.16 )

r(x) =  (-$0.00016)*[tex]x^{2}[/tex] + $13.16*x

So we want to find the maximum revenue.

Notice that this is a quadratic equation with a negative leading coefficient, thus the maximum will be at the vertex.

Remember that for an equation like,

y = [tex]ax^{2} +bx+c[/tex]

the x-value of the vertex is:

x = -b/2a

Then in our case, the x-value will be:

x = -$13.16/(2*(-$0.00016))

x = -$13.16/-0.00032

x = 41,125

Then the revenue is maximized for x = 41,125

And the price for this x-vale is given by:

p(41,125) =  (-$0.00016)*41,125 + $13.16

p(41,125) = -$6.58 + $13.16

p(41,125) = $6.58

Which should be rounded to $6.58.

Therefore,

The ticket price would maximize revenue is p(41,125) = $6.58 that attendance is linearly related to ticket price.

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