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SUMMARY OUTPUT Regression Statistics Multiple R 0.881187818 R 2 0.776491971 Adjusted R 2 0.720614963 Standard Error 14.76589647 Observations 16 ANOVA df SS MS F Significance

SUMMARY OUTPUT

Regression Statistics
Multiple R 0.881187818
R2 0.776491971
Adjusted R2 0.720614963
Standard Error 14.76589647
Observations 16

ANOVA

df SS MS F Significance F
Regression 3 9089.598993 3029.86633 13.8964488 0.00032868
Residual 12 2616.380382 218.031699
Total 15 11705.97938

Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 28.84376726 174.6652528 0.16513741 0.87158511 -351.7191 409.40661
Avg. Price -2.123501244 0.340389982 -6.2384364 4.3289E-05 -2.8651473 -1.3818552
Avg. Pricecomp 1.034560927 0.466526637 2.21758169 0.04664078 0.01808671 2.05103515
Avg. Income 3.089366053 0.998893165 3.09278926 0.00931394 0.91296481 5.2657673

Question 1 : Use the standard error of the regression to estimate the seat demand range with a 95% confidence interval.

Question 2: Estimate and interpret the own price, cross price and income elasticities of demand.

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