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 = 4.9 * weight - 287
This means that on average for every extra kilogram weight a rider loses 4.9 positions in the result.
Breukink
2
70 kgGiupponi
4
60 kgDelgado
7
64 kgWinnen
8
60 kgMadiot
12
68 kgWechselberger
23
71 kgChiappucci
24
67 kgSaronni
27
65 kgVandi
31
64 kgSørensen
42
70 kgRominger
44
65 kgJärmann
48
73 kgPagnin
49
74 kgGavazzi
67
67 kgVanderaerden
75
74 kgde Rooij
79
69 kgElli
86
71 kgMauri
98
68 kgMartinello
107
71 kgCaroli
116
77 kg
2
70 kgGiupponi
4
60 kgDelgado
7
64 kgWinnen
8
60 kgMadiot
12
68 kgWechselberger
23
71 kgChiappucci
24
67 kgSaronni
27
65 kgVandi
31
64 kgSørensen
42
70 kgRominger
44
65 kgJärmann
48
73 kgPagnin
49
74 kgGavazzi
67
67 kgVanderaerden
75
74 kgde Rooij
79
69 kgElli
86
71 kgMauri
98
68 kgMartinello
107
71 kgCaroli
116
77 kg
Weight (KG) →
Result →
77
60
2
116
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BREUKINK Erik | 70 |
| 4 | GIUPPONI Flavio | 60 |
| 7 | DELGADO Pedro | 64 |
| 8 | WINNEN Peter | 60 |
| 12 | MADIOT Marc | 68 |
| 23 | WECHSELBERGER Helmut | 71 |
| 24 | CHIAPPUCCI Claudio | 67 |
| 27 | SARONNI Giuseppe | 65 |
| 31 | VANDI Alfio | 64 |
| 42 | SØRENSEN Rolf | 70 |
| 44 | ROMINGER Tony | 65 |
| 48 | JÄRMANN Rolf | 73 |
| 49 | PAGNIN Roberto | 74 |
| 67 | GAVAZZI Pierino | 67 |
| 75 | VANDERAERDEN Eric | 74 |
| 79 | DE ROOIJ Theo | 69 |
| 86 | ELLI Alberto | 71 |
| 98 | MAURI Melchor | 68 |
| 107 | MARTINELLO Silvio | 71 |
| 116 | CAROLI Daniele | 77 |