3. The data in the table above represents quantity demanded (Q)and price (P) for iPhones. Use this data to answer the followingquestions:
(a) Enter the data for price and quantity demanded into Exceland generate a plot of P against Q (Q is on the horizontal axis andP is on the vertical axis)
(b) Use Excel to run an OLS regression of the inverse demandfunction:
P =a+bQ+e
Report your estimates for â and b (b with a line on top ofit). Does quantity demanded have a statistically significant effecton price?
c) Re-run the previous OLS regression using quantity demanded in1000’s of units instead (use Q with a line on top of it = Q/1000).How does this transformation effect your estimates?
(d) Run an OLS regression which includes both Q and Q2 asexplanatory variables. What is the intuition for including thesquare term? Is the square term statistically significant?
3. The data in the table above represents quantity demanded (Q) and price (P) for iPhones. Use this data to answer the f
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