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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Fondriest
1
70 kgEkimov
2
69 kgSpruch
3
68 kgZberg
4
69 kgKonyshev
5
77 kgJalabert
6
66 kgZabel
7
69 kgLeoni
8
74 kgCasagrande
9
64 kgvan Heeswijk
11
73 kgGontchenkov
12
74 kgChanteur
13
62 kgAndersson
14
71 kgPetito
15
78 kgHeulot
16
69 kgArtunghi
17
71 kgNoè
19
65 kgMauri
20
68 kg
1
70 kgEkimov
2
69 kgSpruch
3
68 kgZberg
4
69 kgKonyshev
5
77 kgJalabert
6
66 kgZabel
7
69 kgLeoni
8
74 kgCasagrande
9
64 kgvan Heeswijk
11
73 kgGontchenkov
12
74 kgChanteur
13
62 kgAndersson
14
71 kgPetito
15
78 kgHeulot
16
69 kgArtunghi
17
71 kgNoè
19
65 kgMauri
20
68 kg
Weight (KG) →
Result →
78
62
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 2 | EKIMOV Viatcheslav | 69 |
| 3 | SPRUCH Zbigniew | 68 |
| 4 | ZBERG Markus | 69 |
| 5 | KONYSHEV Dmitry | 77 |
| 6 | JALABERT Laurent | 66 |
| 7 | ZABEL Erik | 69 |
| 8 | LEONI Endrio | 74 |
| 9 | CASAGRANDE Francesco | 64 |
| 11 | VAN HEESWIJK Max | 73 |
| 12 | GONTCHENKOV Alexander | 74 |
| 13 | CHANTEUR Pascal | 62 |
| 14 | ANDERSSON Michael | 71 |
| 15 | PETITO Roberto | 78 |
| 16 | HEULOT Stéphane | 69 |
| 17 | ARTUNGHI Marco | 71 |
| 19 | NOÈ Andrea | 65 |
| 20 | MAURI Melchor | 68 |