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 = -32.7 * weight + 2910
This means that on average for every extra kilogram weight a rider loses -32.7 positions in the result.
Baffi
1
70 kgCipollini
2
77 kgGavazzi
3
67 kgKelly
4
77 kgMartinello
5
71 kgKonyshev
8
77 kgSørensen
990
70 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
1
70 kgCipollini
2
77 kgGavazzi
3
67 kgKelly
4
77 kgMartinello
5
71 kgKonyshev
8
77 kgSørensen
990
70 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
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 2 | CIPOLLINI Mario | 77 |
| 3 | GAVAZZI Pierino | 67 |
| 4 | KELLY Sean | 77 |
| 5 | MARTINELLO Silvio | 71 |
| 8 | KONYSHEV Dmitry | 77 |
| 990 | SØRENSEN Rolf | 70 |
| 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 |