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.
The participants were tested according to the number of days they Mandarin every 20 minutes. It's been testing which would be the best model to study a foreign language. This is an experimental study of identifying the most effective method based on the experiments.
True. This demonstrates that buyer has confidence on buying products that are branded. She has trust that the product can satisfy her because the brand already earned a reputation in its field. It also shows that she passed scrutiny on the bought product.
Answer:
d) $2,000,000 $990,000
Explanation:
The computation is shown below:
Unit variable cost pool is
= Budgeted cost ÷ Budgeted machine hours
= $1,600,000 ÷ 360,000
=$ 4.444 per machine hour
And,
Batch-level cost pool = Budgeted cost ÷ Budgeted number of setups
= $900,000 ÷ 3000
= $ 300 per setup
Now
Unit variable cost pool is
= Actual machine hours × Activity rate
= 450000 × 4.44
= $2,000,000
And, Batch-level cost pool is
= Actual number of setups × Activity rate
= 3300 × 300
=$990,000