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: 1 widget per dollar
Explanation:
The weekly productivity level for this operation will be calculated thus:
Output = 8000 widgets per week.
Input = Labor Cost + Material Cost
= (5 × 40 × $15) + (100 × $50)
= $3000 + $5000
= $8000
Productivity = Output / Input
= $8000 / $8000
= 1 widget per dollar
Answer:
Substitutes
Explanation:
The education services at the two universities are substitutes to each other. The cross price elasticity of substitute goods is positive which indicates that as the price of one good increases then as a result the demand for other good increases and if the price of one good decreases then as a result the demand for other good decreases.
Now, if there is an increase in the tuition fees at University A, hence, this will increase the price of educational services at University A. Therefore, this will lead to an increase in the demand for educational services at University B.
Answer:
The Correct answer is $85 U.
Explanation:
Spending change is the contrast among the real and expected (planned) measure of a cost
Genuine Spending on cleaning equipment and supplies in April = $3,450
Planned Spending in cleaning equipment and supplies in April = $2600 + $51 × 15 boat = $ 3365
Difference among Budgeted and Actual is $ 85 for example abundance spending than planned subsequently this difference is Unfavorable for organization.
