Answer:
The correct answer is D. demand and the nature of the market.
Explanation:
External factors: Nature of the market and demand
The price-demand relationship varies in different market classes, and how the way the buyer perceives the price affects the pricing decision. 4 types of markets
.
- If there is pure competition: merchants in these markets do not devote much time to marketing strategy. There is no charge for the products. It is standardized.
- In monopolistic competition: it is within a price range, it can vary by quality, or the services that accompany it.
- In oligopolistic competition: they can be uniform products or not, they are constantly watched over the competition. If prices rise, buyers will quickly change them as a supplier. There are few vendors and it costs others to enter.
- In a pure monopoly: a market formed by a single supplier, unregulated monopolies have the freedom to set their prices, however they do not take advantage of them for several reasons, not to attract competition, fear of regulation and to penetrate the market.
- Demand curve: curve that shows the number of units that the market will buy in a specific period at the different prices that could be charged.
- Price elasticity: Measurement of the sensitivity of demand between changes in the price. It is obtained with the following formula: Elasticity of demand with respect to price = percentage of change in the amount of demand Percentage of change in price
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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
Answer: A, B, and C. ALL OF THE ABOVE!
Explanation:
They're all the correct answer.
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