U need to provide the options we can pick from please
Answer: Option (d) is correct
If consumption increases, the AD curve will shift rightward, which will increase the price level.
Explanation:
If the consumption increases in an economy as a result there is a rightward shift in the aggregate demand curve. This shift in the aggregate demand curve lead to increase in the price level as well as in the output level.
Because there is more demand in the economy which gives an advantage for the producer to charge higher price.
Answer:
The correct total time is nineteen (19) days instead of twenty-one days.
Explanation:
Given the analysis of time for the project in parenthesis, it is feasible to merge some of the activities together by carrying them out simultaneously.
For example:
In the course of arranging and confirming the training facility to use which will last for 3 days, the development of the training material that ought to last for 5 days is brought down to a 2 days work because the initial 3 days for arrangement becomes vacant pending the reply on the final day. This brings the total days from 8 to 5.
Other days remain thus:
• Send an e-mail message to all department managers (1 day)
• Print copies of handout (2 days)
• Develop a set of PowerPoint slides (5 days)
• Conduct a practice training session with the instructor (2 days)
• Conduct the user training sessions (4 days).
Hence, total days are as follow:
5 +1 + 2 + 5 + 2 + 4 = 19 days.
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
The correct option is D.
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