Answer:
Last one.
Explanation:
All the workers should know how to turn off the power in an emergency. Just in case there isn't one, there is the other.
Answer:
James will lose money, since his earnings will be lower than the interest that he must pay.
Explanation:
The capitalization (cap) rate is a ratio calculated by dividing the net operating income over the property asset value.
For example, if James is purchasing the property at $100,000, his net earning will be $7,500 per year (cap rate of 7.5%), but he will have to $8,000 in interests for the property. The interests are higher than the earnings, therefore the leverage is negative.
The systematic risk principle states that the expected return on a risky asset depends only on the asset’s <u>market </u>risk.
<h3>What are
systematic risk principles?</h3>
According to the systemic risk concept, the expected return on an asset is solely determined by its systematic risk. As a result, regardless of how much overall risk an asset carries, just the systematic part is significant in estimating the expected return (including risk premium) on such asset.
Market risk is a kind of systematic risk that affects the entire market. Because it cannot be diversified and distributed, the investor is compensated for it.
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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