Answer: The manager should include 7 independent variables in her multiple regression analysis .
Explanation:
Given : The manager wants to forecast annual sales revenues of snekers of different categories.
The given categories are :-
Sports , color , gender.
Also when we have a categorical variable that assumes n different divisions then the number of dummy explanatory variable for multiple regression will be n-1.
Number of types of sports = 3
⇒ Number of dummy variables for types of sports = 3-1 =2
Number of types of color = 5
⇒ Number of dummy variables for types of color = 5-1 =4
Number of types of gender = 2
⇒ Number of dummy variables for gender = 2-1 =1
Now, the total number of independent variables = 
Hence, the manager should include 7 independent variables in her multiple regression analysis .
Answer:
b.30.00%
Explanation:
Calculation to determine what the expected total net income of $16,830,000 over the 20 years is
Expected total net income =($16,830,000/20)/($5,610,000/2)*100
Expected total net income=$841,500/$2,805,000
Expected total net income =30.00%
Therefore the expected total net income of $16,830,000 over the 20 years is 30.00%
Answer:
Journal entries
Explanation:
The journal entries are as follows
(a) Cash A/c Dr $33,000
Accumulated depreciation A/c Dr $36,960
To Factory machine A/c $66,000
To Profit on sale of factory machine A/c $3,960
(Being the sale of machinery is recorded and the remaining balance is credited to the profit on sale of factory machine account)
(b) Cash A/c Dr $19,800
Loss on sale of factory machine A/c $9,240
Accumulated depreciation A/c Dr $36,960
To Factory machine A/c $66,000
(Being the sale of machinery is recorded and the remaining balance is debited to the loss on sale of factory machine account)
The 4 P's:
Price - cost of the product
Product - the type of good being sold
Place - how the product will get to the consumer (store, internet, etc)
Promotion - what marketing activities will be used to communicate the product (advertising, sales, etc)
Answer:
c. It is easily adaptable to as many suppliers as you need to evaluate
Explanation:
It involves many factor to analyze a decision due to variety of different assessments it has, it can be applicable to many supplier. It is very helpful to decision making because every aspect of each supplier is analyzed and makes a quality decision. Multi criteria analysis assess every supplier on different factors to find the difference between them and make a best decision.
