Human capital increase throughout a career because related jobs develop skills for a specific field of work. Humans can develop skills and gain knowledge through the field of work and improve these skills, if they have the passion to develop it.
so c
Joint ventures have access to local partner's knowledge and shared development costs and risks are advantages in this foreign market entry mode. A joint venture often gives companies access to new markets. Two or more companies come together to benefit themselves and stay their own company.
Answer:
c. $524,000 and $250,000
Explanation:
See the attached picture for detailed explanation.
Answer:
Variable cost per unit= $7.2 per unit
Explanation:
Giving the following information:
Month Total Maintenance Costs Total Machine Hours
January: $2,590 - 330
February: $2,890 - 380
March: $3,490 - 530
April: $4,390 - 660
May: $3,090 - 530
June: $5,470 - 730
To calculate the variable cost under the high-low method, we need to use the following formula:
Variable cost per unit= (Highest activity cost - Lowest activity cost)/ (Highest activity units - Lowest activity units)
Variable cost per unit= (5,470 - 2,590) / (730 - 330)
Variable cost per unit= $7.2 per unit
Answer:
Explanation:
a. In a regression equation expressed as y= a + bx, how is the letter b best described?
Here, b is the slope and best described as the estimate of the cost when there's a visit of an additional customer.
b. How is the letter y in the regression equation best described?
The letter y is the observed store cost for that particular month.
c. How is the letter x in the regression equation best described?
The letter x is the observed customer visit for that particular month.
d. Based on the data derived from the regression analysis, what are the estimated costs for 370 customer-visits in a month?
The estimated cost for 370 customer visit will be:
Y = a + bx
where,
a =$1496
b = $2.08
x = 370 customer visit
Y = $1496 + ($2.08 × 370 customer visit)
= $1496 + $769.6
= $2265.6
e. What is the percent of the total variance that can be explained by the regression equation?
The percent of total variance which the regression equation explain will be:
R2 = 0.86814 or 86.814%
