Answer:
True
Explanation:
Decentralised purchasing also means the purchase of each manufacturing center necessity in the organisation. This method, instead of dropping buying power with a single branch,it would be given to regional offices or branches. They have the power to buy the items needed as per their demands. Acquiring in large quantities lowers the cost to the company.
Answer:
C. Evaluate and motivate workers
Explanation:
This is the taks for middle mamagement.
Answer:
$18,453.40
Explanation:
the easiest way to determine how much money Matt is going to save is by using the future value annuity factor. Using a future value annuity table, we must look for the value that correspond to 5% interest and 10 periods = 13.181
Now we multiply our annuity factor times the amount of money that Matt saves every 6 months = $1,400 x 13.181 = $18,453.40
When Matt graduates from college he should have saved $18,453.40.
<span>Option A. Greater consumption leads to unhappiness. Affluenza as a term was used as far back as the 50s by critics of consumerism to describe a painful, contagious, socially transmitted condition of overload, debt, anxiety, and waste resulting from the dogged pursuit of more. This pursuit leads to more and more unhappiness. In their book "When Too Much is Never Enough" Clive Hamilton and Richard Denniss pose the question: "If the economy has been doing so well, why are we not becoming happier? They argue that affluenza causes overconsumption because there's excess or surplus for rich consumers.</span>
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