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 / ![[TSS j (1 - R^2j)]](https://tex.z-dn.net/?f=%5BTSS%20j%20%281%20-%20R%5E2j%29%5D)
; 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
Answer:
$444,000
Explanation:
current earnings and profits = (taxable income - income taxes) - meals expense + tax exempt income = ($600,000 - $155,000) - $3,000 + $2,000 = $444,000
Disallowed expenses are expenses made by an individual or company that the IRS doesn't allow to be deducted, e.g. meals. Tax exempt income is income that is not taxed by the IRS, e.g. DRD includes at least 70% of dividends received.
Deferred gains or unearned revenues are considered a liability and are not included in the income statement.
Answer:
True
Explanation:
Statistical process control (SPC) is a method of quality control which employs statistical methods to monitor and control a process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste (rework or scrap).
By implementing statistical process control, the goal of eliminating or greatly reducing costly product recalls is realized. This is done by analyzing manufacturing data as it happens so that problems are stopped as they happen—instead of being caught after deployment.
The aim of Statistical Process Control (SPC) is to establish a controlled manufacturing process by the use of statistical techniques to reduce process variation. A decrease in variation will lead to: better quality; lower costs (waste, scrap, rework, claims, etc.).
Answer:
The answer is: A) some people win, some people lose, and there is a loss of economic efficiency.
Explanation:
When the government imposes a price ceiling, some consumers win since they buy cheaper products (lower than equilibrium price) but suppliers lose. Inf the government decides a price floor is better, then customers will lose and some suppliers will win (prices are higher than equilibrium price).
Both price ceilings and price floors cause deadweight loss, decreasing economic efficiency.
Answer:
Meeting with clients= $175 per meeting hour
Explanation:
To calculate the predetermined manufacturing overhead rate we need to use the following formula:
Predetermined manufacturing overhead rate= total estimated overhead costs for the period/ total amount of allocation base
Meeting with clients= 1,325,275/7,573
Meeting with clients= $175 per meeting hour
