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 .
There is no industry which can not relay on estimation, all industries needs estimation.
The two primary categories of this profession are construction and manufacturing, according to the Bureau of Labor Statistics. It states that more than half of all cost estimators work in the construction industry, where they may further specialize in projects for homes, businesses, industries, or the government.
Cost estimation aids in setting the project budget, planning the required work, and managing new resources. Cost estimates are also of the utmost importance when trying to win over new clients. Before starting actual building, property owners also utilize cost estimates to evaluate the viability of their projects.
Learn more about estimation here
brainly.com/question/107747
#SPJ4
Answer:
The correct answer is letter "A": is a systematic way to link an indirect cost or group of indirect costs to cost objects.
Explanation:
Cost allocation is the method of assigning costs to cost objects. Cost objects are items or activities that are preferable to have their own costs allocated such as a product or a department within a firm. Cost allocation is a measure of profitability at the moment of evaluating a subsidiary. It is mainly used for financial reporting purposes.
Answer:
Companies can achieve economies of scale by increasing production and lowering costs. This happens because costs are spread over a larger number of goods. Costs can be both fixed and variable. ... The larger the business, the more the cost savings.
