The one that you could do to adress this is to Establish a system that provides each sales team member with specific, challenging sales goals and performance<span> feedback from their store manager.
By doing this, not only we put a focus for each team members on the expectation toward them, we also could use the data collected by each determines to determine if there is someone that needed to be let go.</span>
Answer:
The total cost of Job 903 is $5,073.20
Explanation:
The computation of the total cost is shown below:
= Direct material used + Direct labor cost + overhead cost (Predetermined manufacturing overhead rate per direct labor hour × Direct labor hours used in Job 903)
= $3,200 + $1,092 + ($18.60 × 42 labor hours)
= $3,200 + $1,092 + $781.20
= $5,073.20
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.
A likely reason that a company would move its facility from one location to another is that they would like to access various modes of transportation, such as boats and/or railroad.
Answer:
33,610.42 units
Explanation:
For computing the minimum annual production rate first we have to determine the annual worth by using the PMT formula which is shown below:
Given that
Present value = $258,388
Interest rate = 10%
NPER = 7 years
Future value = $0
The formula is shown below:
= PMT(RATER;NPER;-PV;FV;type)
The present values comes in a negative
After solving this, the annual worth is $53,074.32
And, the annual operating maintenance cost is $28,599
So, the revenue should be
= $53,074.32 + $28,599
= $81,673.32
Now the minimum annual production rate is
= $81,673.32 ÷ $2.43
= 33,610.42 units
