Answer:
I also don't know the answer to this question
Answer:
p = -0.05m + 22
Step-by-step explanation:
As given in question,
The relation between the price and demand can be given by,
where is p is price and x is demand.
Since in order to sell 300 cards the price has to be fix at $7.
So,
7 = 300m+b <u> </u> (1)
And for every additional card they need to drop the price by $0.05.
So,
7-0.05 = 301m+b
=>6.95 = 301m + b<u> </u> (2)
Subtracting equation (1) from equation (2), we will have
6.95 - 7 = 301m - 300m
=>m = -0.05
By putting the value of m in equation (1), we get
7 = 300.(-0.05)+b
=> b = 22
So, the linear equation that show the relation between price and demand is given by
p = -0.05m + 22
Answer:
- Number of spectators who leave the stadium before 180 minutes
This data would show if spectators only come to the stadium and stay until the end of the game when their favorite teams are playing
- Number of customers/spectators attending the last 100 matches
This data will help the stadium know the current trend ( either increasing of decreasing ) number of the spectators who visit the stadium
<u />
- The data can be collected via the exit time entries at the exit gate of the stadium
- history of ticket sold over the last 100 matches
<u />
we have to conduct a hypothesis test assuming that a spectator watches a match for more than 180 minutes with an assumed standard deviation
we can also use regression analysis and line of best fit to check for the trends
Step-by-step explanation:
Aim : The Aim of the stadium is Increasing revenue generated in the stadium and some of the ways to achieve such is by taking specific data as regards the customers/spectators who visit the stadium
<u>The type of data that could be collected from the fans to be used in multiple regression model:</u>
- Number of spectators who leave the stadium before 180 minutes
This data would show if spectators only come to the stadium and stay until the end of the game when their favorite teams are playing
- Number of customers/spectators attending the last 100 matches
This data will help the stadium know the current trend ( either increasing of decreasing ) number of the spectators who visit the stadium
<u>How can the data be collected </u>
- The data can be collected via the exit time entries at the exit gate of the stadium
- history of ticket sold over the last 100 matches
<u>how to apply the data</u>
we have to conduct a hypothesis test assuming that a spectator watches a match for more than 180 minutes with an assumed standard deviation
we can also use regression analysis and line of best fit to check for the trends
Answer:
the answer is 3 and -4 because of rise and run
Answer:
I'm pretty sure its false let me know if its true and correct me
Step-by-step explanation: