Question

Consider the results of the regression analysis (below). The data include observations of the quantity sold of a good, the mo

Forecast the quantity demanded when own price is $10, the price of Y is $15, the price of Z is $24, and household income is $42,000. Construct an approximately 95% confidence interval around your estimate.

        Sales forecast:__________                  Confidence interval:________ to ________

  1.     Is Y a substitute or complement for model X? Is Z a substitute or complement to X? Is X a normal or inferior good?

Y is ___________________

Z is ___________________

X is ___________________

  1.     Which independent variables are statistically significant at the 5% level?

Statistically Significant?

Yes

No

Price of X

_____

_____

Price of Y

_____

_____

Price of Z

_____

_____

Income

_____

_____

  1.     Calculate own price elasticity of demand when own price is $10, the price of Y is $15, the price of Z is $24, and household income is $42,000. Is demand elastic or inelastic at this point?

Elasticity = ____________

Elastic or inelastic? _____________

  1.     Suppose the marginal cost of model X is a constant $5 per unit. Find the profit maximizing price and quantity for the producer of model X, once again assuming the price of Y is $15, the price of Z is $24, and household income is $42,000.

Optimal Price: __________

Optimal Quantity: ___________

  1.     Calculate cross price elasticity between the model X and the price of Y when own price is $10, the price of Y is $15, the price of Z is $24, and household income is $42,000. Suggest a strategic response: how should the producer of model X respond when the producer of Y raises prices (be as specific as possible)?

Elasticity = _______________

Strategic response:

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