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Regression equation for Case 3.0: SUMMARY OUTPUT Regression Statistics Multiple R 0.957 R Square 0.915 Adjusted R Square 0.908 Standard Error 5.779 Observations 52 ANOVA

Regression equation for Case 3.0:

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.957

R Square

0.915

Adjusted R Square

0.908

Standard Error

5.779

Observations

52

ANOVA

df

SS

MS

F

Significance F

Regression

4

16947.86487

4236.9662

126.8841

1.45976E-24

Residual

47

1569.442824

33.392401

Total

51

18517.30769

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

39.08190

15.31261

2.55227

0.014012

8.27693

69.88687

X-Price

-7.37039

0.98942

-7.44921

1.71E-09

-9.36084

-5.37994

Y-Price

-3.42813

0.21342

-16.06289

1.03E-20

-6.10796

-4.74831

Z-Price

4.05067

0.33949

11.93173

7.95E-16

3.36771

4.73363

Income

0.00288

0.00038

7.57448

1.11E-09

0.00212

0.00364

Questions and analysis:

5.    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: ___________

6.    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 exactly should the producer of model X respond when the producer of Y raises its price, say by $1?

Cross Price Elasticity = _______________

Strategic response:

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