Managerial Economics
Airline Data
| Observations | Seats (QD) | Price | Competitor's Price | Income |
| 1 | 64.8 | 250.0 | 250.0 | 104.0 |
| 2 | 33.6 | 265.0 | 250.0 | 101.5 |
| 3 | 37.8 | 265.0 | 240.0 | 103.0 |
| 4 | 83.3 | 240.0 | 240.0 | 105.0 |
| 5 | 111.7 | 230.0 | 240.0 | 100.0 |
| 6 | 137.5 | 225.0 | 260.0 | 96.5 |
| 7 | 109.5 | 225.0 | 250.0 | 93.3 |
| 8 | 96.8 | 220.0 | 240.0 | 95.0 |
| 9 | 59.5 | 230.0 | 240.0 | 97.0 |
| 10 | 83.2 | 235.0 | 250.0 | 99.0 |
| 11 | 90.5 | 245.0 | 250.0 | 102.5 |
| 12 | 105.5 | 240.0 | 240.0 | 105.0 |
| 13 | 75.7 | 250.0 | 220.0 | 108.5 |
| 14 | 91.6 | 240.0 | 230.0 | 108.5 |
| 15 | 112.7 | 240.0 | 250.0 | 108.0 |
| 16 | 102.2 | 235.0 | 240.0 | 109.0 |
Regression Results
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.881 | |||||||
| R Square | 0.776 | |||||||
| Adjusted R Square | 0.721 | |||||||
| Standard Error | 14.766 | |||||||
| Observations | 16.000 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 3.000 | 9089.599 | 3029.866 | 13.896 | 0.000 | |||
| Residual | 12.000 | 2616.380 | 218.032 | |||||
| Total | 15.000 | 11705.979 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 28.844 | 174.665 | 0.165 | 0.872 | -351.719 | 409.407 | -351.719 | 409.407 |
| Price | -2.124 | 0.340 | -6.238 | 0.000 | -2.865 | -1.382 | -2.865 | -1.382 |
| Competitor's Price | 1.035 | 0.467 | 2.218 | 0.047 | 0.018 | 2.051 | 0.018 | 2.051 |
| Income | 3.089 | 0.999 | 3.093 | 0.009 | 0.913 | 5.266 | 0.913 | 5.266 |
| RESIDUAL OUTPUT | ||||||||
| Observation | Predicted Seats (QD) | Residuals | ||||||
| 1 | 77.903 | -13.103 | ||||||
| 2 | 38.327 | -4.727 | ||||||
| 3 | 32.615 | 5.185 | ||||||
| 4 | 91.882 | -8.582 | ||||||
| 5 | 97.670 | 14.030 | ||||||
| 6 | 118.166 | 19.334 | ||||||
| 7 | 97.934 | 11.566 | ||||||
| 8 | 103.458 | -6.658 | ||||||
| 9 | 88.402 | -28.902 | ||||||
| 10 | 94.308 | -11.108 | ||||||
| 11 | 83.886 | 6.614 | ||||||
| 12 | 91.882 | 13.618 | ||||||
| 13 | 60.768 | 14.932 | ||||||
| 14 | 92.349 | -0.749 | ||||||
| 15 | 111.495 | 1.205 | ||||||
| 16 | 114.856 | -12.656 | ||||||
Price Residual Plot
250 265 265 240 230 225 225 220 230 235 245 240 250 240 240 235 -13.102757460360138 -4.7268236643353916 5.184736526283686 -8.5815266856321699 14.030291136891023 19.334347560952551 11.565928200582164 -6.6578910405857386 -28.901610704166131 -11.108445859027697 6.6137853979205374 13.618473314367833 14.931923111496999 -0.74869860097501828 1.2047658853345098 -12.656497118746714Price
Residuals
Competitor's Price Residual Plot
250 250 240 240 240 260 250 240 240 250 250 240 220 230 250 240 -13.102757460360138 -4.7268236643353916 5.184736526283686 -8.581526685632169 9 14.030291136891023 19.334347560952551 11.565928200582164 -6.6578910405857386 -28.901610704166131 -11.108445859027697 6.6137853979205374 13.618473314367833 14.931923111496999 -0.74869860097501828 1.2047658853345098 -12.656497118746714Competitor's Price
Residuals
Income Residual Plot
104 101.5 103 105 100 96.5 93.3 95 97 99 102.5 105 108.5 108.5 108 109 -13.102757460360138 -4.7268236643353916 5.184736526283686 -8.5815266856321699 14.030291136891023 19.334347560952551 11.565928200582164 -6.6578910405857386 -28.901610704166131 -11.108445859027697 6.6137853979205374 13.618473314367833 14.931923111496999 -0.74869860097501828 1.2047658853345098 -12.656497118746714Income
Residuals