Answer:
In my opinion they can be a big problem because if you can not use the uber in some community it's useless but they are banning ubers because the taxis business are loosing money and the uber is replacing the taxi business.
There is an own opinion question, so try to answer by yourself
Answer:
a. linear regression.
Explanation:
Based on the information provided within the question it can be said that in this scenario the best choice would be a linear regression model. That is because this type of approach deals with seeing to what extent there exists a relationship between two variables. Which in this case would be the quantitative data/prices and the square footage of the home.
Answer:
D. decreasing returns to scale.
The answer and procedures of the exercise are attached in the image below.
Explanation
Please consider the data provided by the exercise. If you have any question please write me back. All the exercises are solved in a single sheet with the formulas indications.
Answer:
a. 7,900
b. 10,100
Explanation:
As for the provided information,
We know at break even point taxes shall be = 0 as there are no profits and no losses.
a. At break even: = 
Fixed Cost = $308,100
Contribution per unit = Selling price - Variable cost = $79 - $40 = $39
Therefore, break even units = 
b. In case the company wants a profit of $51,480 after tax @ 40% then,
Earnings before taxes =
= $85,800
Therefore, number of units = 
=
= 10,100