Hold you foot on the brakes, put key in Ignition twist key Clockwise until the Engine Starts, then just let the key go, and your car is up and running
Answer:
the fixed cost is $1.72 million
Explanation:
The computation of the fixed cost is shown below:
= Total cost - variable cost
= $3.4 million - ($4.6 million - $3.4 million) ÷ $3.4 million - $.1.2 million ÷ $2 million
= $3.4 million - 2.8 million × $0.60 million
= $1.72 million
Hence, the fixed cost is $1.72 million
Answer:
d. Evaluate segment attractiveness
Explanation:
The STP process helps to find your customers and decide the best way to target them. The step of the process that develops descriptions of the different segments is evaluate segment attractiveness as in this step the description of the segments along with market information and research results are generated to evaluate each segment.
Receiving an 'E' will not give you any point average.
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