Answer:
The effect on net operating income would be an increase of $137,900
Explanation:
Giving the following information:
Selling price $85
Variable expenses per unit $ 35
If Price Paper spends an additional $12,100 on advertising, sales volume should increase by 3,000 units.
To calculate the effect on income, we need to determine the incremental total contribution, and deduct the incremental fixed costs:
Effect on income= 3,000*(85 - 35) - 12,100= $137,900
Holding the nonprice determinants of demand constant, a change in price would result in either a decrease in demand or an increase in demand.
An alternate in a nonprice determinant changes the relationship between rate and amount demanded, either increasing or reducing the amount demanded at every rate. on occasion referred to as non-very own-rate determinant. A boom or decrease in the amount demanded of an awesome, service, or resource at each fee.
The demand curve shifts horizontally. A surplus will arise in a market if: the quantity provided at a given rate exceeds the amount demanded at that rate.
Whilst a nonprice determinant of demand modifications calls for curve shifts, there may be a boom or lower in demand. when the rate of great adjustments, we move along the demand curve to a new factor on the curve, and there's a boom or lower in quantity demanded.
Learn more about demand here: brainly.com/question/1245771
#SPJ4
Answer:
stimulation ; stabilization
Explanation:
Automatic stabilizers act to stimulate the economy during recessions and stabilize the economy when it becomes overheated
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
