Answer:
option (D) $138,000
Explanation:
Data provided in the question:
Purchasing cost of the machine = $126,000
Additional costs for this machine :
Shipping = $3,000
Installation = $4,000
Testing = $5,000
Now,
The cost of machine that should be reported
= Purchasing cost + Additional costs incurred
= $126,000 + $3,000 + $4,000 + $5,000
= $138,000
Hence,
The correct answer is option (D) $138,000
Answer:
The value of the stock = $19.64
Explanation:
According to the dividend valuation model, <em>the value of a stock is the present value of the expected future cash flows from the stock discounted at the the required rate of return.</em>
Year Workings Present value(PV)
1 $1 × (1.22) × 1.11^(-1) = 1.10
2 $1 × (1.22)^2 ×(1.11)^(-2) = 1.21
3 $1 × ((1.22)^2 × (1.05))/0.11-0.05) = 21.35 ( PV in year 2 terms)
PV (in year 0) of Year 3 dividend = 21.35 × 1.11^(-2)
= 17.33 (see notes)
<em>The value of the stock</em> = $1.10+ $1.21 + 17.3
= $19.64
Notes:
<em>Note the growth applied to year 3 dividend gives the PV in year 2 terms. So we need to re-discount again to year 0.</em>
<em />
The value of the stock = $19.64
The after sales services are included in the product category of market mix. Option C
<u>Explanation:
</u>
The set of ideas or actions taken by a business entity or a company to promote its product or brand in the market. The four P’s of marketing mix are namely,
- Product - The end product that is offered for sale.
- Price – The value set for the finished good for selling.
- Place – Direct or indirect markets.
- Promotion – Public relations, advertising, etc.,
From the given, discounts comes under pricing, product image used in advertising comes under promotion and substitute goods belong to a different topic. After-sales services comes under the service branch of the product category.
Answer:
(B) multicollinearity is present.
Explanation:
Multicollinearity -
It is the process where , one of the predictor variable in the multiple regression model can be linearly predicted from the others with the substantial degree of accuracy , is known as multicollinearity or collinearity .
<u>In this case , the coefficient estimated of the multiple regression can change erratically for even a small change in the model .</u>
hence , from the question , the indication is of (B) multicollinearity is present .
