Answer:
Scarce resources.
Explanation:
A major reason for studying Economics is to gain an understanding of how a nation can best choose to use its scarce resources and how we must make rational decisions in order to move toward a higher standard of living for all. Some of these scarce resources include money, time, land, labor, capital and entrepreneurship. If these resources are not well managed, it usually results in an economic downturn, recession and inflation which are typically a negative factor for good standards of living for the people living in the particular country.
Hence, a proper allocation of scarce resources would improve the standards of living in a country.
Answer:
His firm's DPMO is 12,083
Explanation:
The computation of the DPMO is shown below:
= (Total complaints ÷ total number of defects opportunity) × 1 million
where,
Total complaints = Shrinkage complaints + poor quality complaints + wear off complaints + fitting issue complaints
= 22 + 16 + 12 + 8
= 58 customers defects
And, the total number of defects opportunity would be equal to
= Number of t-shirts sold × number of possible complaints
= 1,200 × 4
= 4,800
Now put these values to the above formula
So, the value would be equal to
= (58 ÷ 4,800) × 1,000,000
= 12,083
Answer:
d. It is best measured using the statistic variance inflation factor (VIF).
Explanation:
Multicollinearity is an important issue in multiple regression model, having many independent/ explanatory variables. Multicollinearity is the situation in which two or more independent variables are highly correlated. It is problematic because it increases the standard error of independent variable coefficient & undermines its statistical significance
Variance Inflation Factor [VIF] is a check & corrective measure of multicollinearity.
- VIF as a multicollinearity check : It quantifies the correlation between one explanatory variable with other explanatory variables.VIF = 1 implies there is no multicollinearity (correlation between independent variables); VIF upto 5 implies there is moderate multicollinearity (correlation between independent variables). VIF > 5 implies high multicollinearity (correlation between independent variables)
- VIF as a multicollinearity correction : Calculating = σ^2 / ; where TSS = total sum of square of variable j , σ^2 = j variance, R^2 j = R^2 from regressing all other independent variable on variable j