Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -37.7 * weight + 3322
This means that on average for every extra kilogram weight a rider loses -37.7 positions in the result.
Kelly
2
77 kgKonyshev
3
77 kgCipollini
6
77 kgSørensen
7
70 kgMartinello
9
71 kgBaffi
990
70 kgGavazzi
990
67 kgVanderaerden
990
74 kgArgentin
990
66 kgGianetti
990
62 kgPetito
990
78 kgUgrumov
990
58 kgChiappucci
990
67 kgCenghialta
990
73 kgGiupponi
990
60 kgBaronchelli
990
72 kg
2
77 kgKonyshev
3
77 kgCipollini
6
77 kgSørensen
7
70 kgMartinello
9
71 kgBaffi
990
70 kgGavazzi
990
67 kgVanderaerden
990
74 kgArgentin
990
66 kgGianetti
990
62 kgPetito
990
78 kgUgrumov
990
58 kgChiappucci
990
67 kgCenghialta
990
73 kgGiupponi
990
60 kgBaronchelli
990
72 kg
Weight (KG) →
Result →
78
58
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLY Sean | 77 |
| 3 | KONYSHEV Dmitry | 77 |
| 6 | CIPOLLINI Mario | 77 |
| 7 | SØRENSEN Rolf | 70 |
| 9 | MARTINELLO Silvio | 71 |
| 990 | BAFFI Adriano | 70 |
| 990 | GAVAZZI Pierino | 67 |
| 990 | VANDERAERDEN Eric | 74 |
| 990 | ARGENTIN Moreno | 66 |
| 990 | GIANETTI Mauro | 62 |
| 990 | PETITO Roberto | 78 |
| 990 | UGRUMOV Piotr | 58 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | CENGHIALTA Bruno | 73 |
| 990 | GIUPPONI Flavio | 60 |
| 990 | BARONCHELLI Gianbattista | 72 |