Answer:
22 radio advertisements will be used.
Explanation:
<u>Note</u>: A similar complete question is as follow as the question provided is incomplete <em>"A company has $11,970 available per month for advertising. Newspaper ads cost $110 each and can't run more than 25 times per month. Radio ads cost $410 each and can't run more than 32 times per month at this price. Each newspaper ad reaches 5950 potential customers, and each radio ad reaches 7100 potential customers. The company wants to maximize the number of ad exposures to potential customers. Use n n for number of Newspaper advertisements and r r for number of Radio advertisements . Maximize P"</em>
Number of potential customers that can be reached due to each dollar spent in newspaper advertising = 5950 / 110 = 54.09
Number of potential customers that can be reached due to each dollar spent in Radio advertisements = 7100 / 410 = 17.32.
As the number of potential customers reached by each dollar spent is more from the newspaper advertising, we will use all the newspaper advertising opportunities before going for the radio advertisements. So, we will choose to have 25 newspaper advertisements in the month.
The cost of 25 newspaper advertisements = 25*110 = $2750.
Amount left = $11970 - $2750 = $9220.
Number of radio advertisements possible in this budget = 9220 / 410 = 22.48
Hence, 22 radio advertisements will be used.
This could be either print media or support media. I believe it is print media.
<span>perhaps u want the formula for the percentage of markup, giving the cost and selling price.
..(selling price) = (cost) + (Markup)
..(selling price) - (cost) = (markup)
so,
..(markup)/(selling price)*100% = ((selling price) - (cost))/(selling price) * 100%
.. =(1 -(cost)/(selling price))*100%
</span>
Average patrons per event = 2,700
Number of event goers a ticket taker can process = 125
Therefore number of ticket takers that need hiring = 2700 ÷ 125 = 21.6 = 22 ticket takers
Answer:
Explanation:
a. In a regression equation expressed as y= a + bx, how is the letter b best described?
Here, b is the slope and best described as the estimate of the cost when there's a visit of an additional customer.
b. How is the letter y in the regression equation best described?
The letter y is the observed store cost for that particular month.
c. How is the letter x in the regression equation best described?
The letter x is the observed customer visit for that particular month.
d. Based on the data derived from the regression analysis, what are the estimated costs for 370 customer-visits in a month?
The estimated cost for 370 customer visit will be:
Y = a + bx
where,
a =$1496
b = $2.08
x = 370 customer visit
Y = $1496 + ($2.08 × 370 customer visit)
= $1496 + $769.6
= $2265.6
e. What is the percent of the total variance that can be explained by the regression equation?
The percent of total variance which the regression equation explain will be:
R2 = 0.86814 or 86.814%
