fare, dist Table SUMMARY OUTPUT MR Rre ARSE Standard 002 0.02 SUMMARY OUTPUT Fiepustnice Munip H 062 RS 30 Asustai R. 0. Standard 1456 Con 450.00 IT ANOVA ANOVA Reges Residual T 76310 4504 50 5051554156351 2973370246472290 25 Regression si To 21026 1 4504 450 5 SO12 157674825 200272412 M 10013628.94 3427.60 303 016 000 000 25 re 23 Percept 103 0.00 54 MOTOR 0,07 0.00 14.00 106 D. 000 fare benes Farew year SUMMARY OUTPUT Table SUMMARY OUTPUT MAR RS Ad Square BE One 002 7419 50 MR R Auted Square Standard OY 0.00 000 7472 00 ANOVA Reyes MS 470019 S4 Sgwe 7/09 ST 4422 2 ANOVA Tersion 55 TA 4542547151 ME 2013064 27 brang An Wien TO 1440 Tube SUMMARY OUTPUT Regres 002 0.00 0.00 2. a. What happens to the ticket prices over time? b. What impact does buying more tickets per transaction have on the expected fare? ANON Hagen 7201 400000 MS 7206 SPO L CV Standard 6 20 0.65 1/12 52 tiche 024 2.04 OUTPUT MAY M AMA TERMS TO A SUMMARY OUT SARYOU 0.00 HE 1.00 LA SURYOU WE Table 3. fare = + passengers SUMMARY OUTPUT Regression Statistics Multiple R 0.14 R Square 0.02 Adjusted R Square 0.02 Standard Error 74.19 Observations 4596 ANOVA F 87 01 MS 478919 34 550421 Significance F 000 Regression Residual Total SS 1 478919.34 4594 2528635285 4595 2570527219 Intercept passen Coefficients Standard Error 186.80 1.39 -0.01 0.00 Star 13437 -933 P.value 0.00 0.00 Lower SSS 164.08 -0.02 Upper 95% 189.53 -0.01 Table 4 fare = + 8 year + SUMMARY OUTPUT Repression Statistics Multiple R 0.07 R Square 0.00 Adjusted R Square 0.00 Standard Error 74.72 Observations 4596.00 ANOVA F 21.16 MS 118120.54 5582.75 Significance F 000 Regression Residual Total af SS 1 118120 54 4594 256047151 65 4595 25766272.19 Coefficients Standard Enor 8883.16 1970.08 453 0.99 Stat 4.51 Intercept year Palue 0.00 0.00 Lower SX - 12745.46 2.60 Upper 95 SOZO 86 6.47 4.60 fare = R + Stickets + Tables SUMMARY OUTPUT Regression Statistics Multiple R 0.02 R Square 0.00 Adjusted R Square 0.00 Standard Error 74.88 Observations 4596 ANOVA F Significance F 0.24 MS 767205 5606.79 Regression Residual Total 1.37 of SS 1 767205 4594 25757600.15 4595 2576527219 Intercept tickets Coefficients Standard Em 176.15 2.52 0.76 0.65 Stat 69.93 1.17 P value 0.00 0.24 Lower 95% 17121 -0.52 18109 204 Table 1. passengers - + fare + SUMMARY OUTPUT Regression Statistics Multiple R 0.14 R Square 0.02 Adjusted R Square 0.02 Standard Error 804 51 Observations 4590 ANOVA Significance F 1.6374E-20 Regression Residual Total 1 4594 4595 SS MS 56315141.83 56315141.83 87.00960084 2973370284 647229.0562 3029685426 Stad Intercept Care Coefficient 901.16 -1.48 Standard Error 30.72 0.16 29.33 -9.33 P-value 0.00 0.00 Lower 95% 840.93 -1.79 Upper 95% 961.39 -1.17 Table 2 fare+dist + u SUMMARY OUTPUT Regression Statistics Multiple R 0.62 R Square 0.39 Adjusted R Square 0.39 Standard Error 58.55 Observations 4596.00 ANOVA or F Significance F 2922.83 0 Regression Residual Total 1 4594 4595 SS 10018523.94 15746748.25 25765272.19 MS 10018523.90 3427.68 Intercept dist Coefficients Standard Error 103.26 1.64 0.08 0.00 Stad 62.87 54 05 P-value 0.00 0.00 Lower 95% 100.04 0.07 Upper 95% 106.48 0.08 Table 3. fare 6 +8, passengers + u SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Obserations 0.14 0.02 0.02 74.19 4596 ANOVA F 87.01 MS 478919.34 5504.21 Significance F 0.00 Regression Residual or SS 1 478919.34 4594 25286352.85 4595 25765272.19 Total fare, dist Table SUMMARY OUTPUT MR Rre ARSE Standard 002 0.02 SUMMARY OUTPUT Fiepustnice Munip H 062 RS 30 Asustai R. 0. Standard 1456 Con 450.00 IT ANOVA ANOVA Reges Residual T 76310 4504 50 5051554156351 2973370246472290 25 Regression si To 21026 1 4504 450 5 SO12 157674825 200272412 M 10013628.94 3427.60 303 016 000 000 25 re 23 Percept 103 0.00 54 MOTOR 0,07 0.00 14.00 106 D. 000 fare benes Farew year SUMMARY OUTPUT Table SUMMARY OUTPUT MAR RS Ad Square BE One 002 7419 50 MR R Auted Square Standard OY 0.00 000 7472 00 ANOVA Reyes MS 470019 S4 Sgwe 7/09 ST 4422 2 ANOVA Tersion 55 TA 4542547151 ME 2013064 27 brang An Wien TO 1440 Tube SUMMARY OUTPUT Regres 002 0.00 0.00 2. a. What happens to the ticket prices over time? b. What impact does buying more tickets per transaction have on the expected fare? ANON Hagen 7201 400000 MS 7206 SPO L CV Standard 6 20 0.65 1/12 52 tiche 024 2.04 OUTPUT MAY M AMA TERMS TO A SUMMARY OUT SARYOU 0.00 HE 1.00 LA SURYOU WE Table 3. fare = + passengers SUMMARY OUTPUT Regression Statistics Multiple R 0.14 R Square 0.02 Adjusted R Square 0.02 Standard Error 74.19 Observations 4596 ANOVA F 87 01 MS 478919 34 550421 Significance F 000 Regression Residual Total SS 1 478919.34 4594 2528635285 4595 2570527219 Intercept passen Coefficients Standard Error 186.80 1.39 -0.01 0.00 Star 13437 -933 P.value 0.00 0.00 Lower SSS 164.08 -0.02 Upper 95% 189.53 -0.01 Table 4 fare = + 8 year + SUMMARY OUTPUT Repression Statistics Multiple R 0.07 R Square 0.00 Adjusted R Square 0.00 Standard Error 74.72 Observations 4596.00 ANOVA F 21.16 MS 118120.54 5582.75 Significance F 000 Regression Residual Total af SS 1 118120 54 4594 256047151 65 4595 25766272.19 Coefficients Standard Enor 8883.16 1970.08 453 0.99 Stat 4.51 Intercept year Palue 0.00 0.00 Lower SX - 12745.46 2.60 Upper 95 SOZO 86 6.47 4.60 fare = R + Stickets + Tables SUMMARY OUTPUT Regression Statistics Multiple R 0.02 R Square 0.00 Adjusted R Square 0.00 Standard Error 74.88 Observations 4596 ANOVA F Significance F 0.24 MS 767205 5606.79 Regression Residual Total 1.37 of SS 1 767205 4594 25757600.15 4595 2576527219 Intercept tickets Coefficients Standard Em 176.15 2.52 0.76 0.65 Stat 69.93 1.17 P value 0.00 0.24 Lower 95% 17121 -0.52 18109 204 Table 1. passengers - + fare + SUMMARY OUTPUT Regression Statistics Multiple R 0.14 R Square 0.02 Adjusted R Square 0.02 Standard Error 804 51 Observations 4590 ANOVA Significance F 1.6374E-20 Regression Residual Total 1 4594 4595 SS MS 56315141.83 56315141.83 87.00960084 2973370284 647229.0562 3029685426 Stad Intercept Care Coefficient 901.16 -1.48 Standard Error 30.72 0.16 29.33 -9.33 P-value 0.00 0.00 Lower 95% 840.93 -1.79 Upper 95% 961.39 -1.17 Table 2 fare+dist + u SUMMARY OUTPUT Regression Statistics Multiple R 0.62 R Square 0.39 Adjusted R Square 0.39 Standard Error 58.55 Observations 4596.00 ANOVA or F Significance F 2922.83 0 Regression Residual Total 1 4594 4595 SS 10018523.94 15746748.25 25765272.19 MS 10018523.90 3427.68 Intercept dist Coefficients Standard Error 103.26 1.64 0.08 0.00 Stad 62.87 54 05 P-value 0.00 0.00 Lower 95% 100.04 0.07 Upper 95% 106.48 0.08 Table 3. fare 6 +8, passengers + u SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Obserations 0.14 0.02 0.02 74.19 4596 ANOVA F 87.01 MS 478919.34 5504.21 Significance F 0.00 Regression Residual or SS 1 478919.34 4594 25286352.85 4595 25765272.19 Total