Answer:
a. linear regression.
Explanation:
Based on the information provided within the question it can be said that in this scenario the best choice would be a linear regression model. That is because this type of approach deals with seeing to what extent there exists a relationship between two variables. Which in this case would be the quantitative data/prices and the square footage of the home.
Answer:
Macau
Explanation:
First, we need to understand that all countries are impacted financially due to the corona virus. It's predicted that Corona Virus will cause a loss of around $2.7 trillion in Global Economy.
That being said, some countries are impacted more than the others.
Especially those who rely on tourism and hospitality as their main economy. Macau is probably the one that got the hardest hit. Not only this country is located near China (where the virus originally came from) , tourism and hospitality accounted for around 43% of Macau's economy. Basically half of its economic activity shut down due to the virus.
Answer:
the variable overhead efficiency variance is $1,840 unfavorable
Explanation:
The computation of the variable overhead efficiency variance is shown below:
= Standard variable overhead rate × (standard hours - actual hours)
= $4.60 × (10,600 - 11,000)
= $1,840 unfavorable
Hence, the variable overhead efficiency variance is $1,840 unfavorable
As the standard hours would be less than the actual hours so it would be unfavorable variance
