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 = -0.5 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Vos
1
58 kgvan Dijk
2
71 kgConfalonieri
3
56 kgLongo Borghini
4
59 kgD'hoore
5
63 kgBrand
6
57 kgElvin
9
63 kgKoster
11
56 kgMajerus
13
56 kgCant
16
57 kgMackaij
17
57 kgArzuffi
19
52 kgDemey
20
56 kgKastelijn
21
52 kgGafinovitz
22
52 kgStultiens
23
58 kgGuderzo
24
54 kgNorman Leth
25
68 kgSpratt
27
55 kgWilliams
29
60 kgPlichta
30
60 kgKorevaar
31
59 kg
1
58 kgvan Dijk
2
71 kgConfalonieri
3
56 kgLongo Borghini
4
59 kgD'hoore
5
63 kgBrand
6
57 kgElvin
9
63 kgKoster
11
56 kgMajerus
13
56 kgCant
16
57 kgMackaij
17
57 kgArzuffi
19
52 kgDemey
20
56 kgKastelijn
21
52 kgGafinovitz
22
52 kgStultiens
23
58 kgGuderzo
24
54 kgNorman Leth
25
68 kgSpratt
27
55 kgWilliams
29
60 kgPlichta
30
60 kgKorevaar
31
59 kg
Weight (KG) →
Result →
71
52
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | VAN DIJK Ellen | 71 |
| 3 | CONFALONIERI Maria Giulia | 56 |
| 4 | LONGO BORGHINI Elisa | 59 |
| 5 | D'HOORE Jolien | 63 |
| 6 | BRAND Lucinda | 57 |
| 9 | ELVIN Gracie | 63 |
| 11 | KOSTER Anouska | 56 |
| 13 | MAJERUS Christine | 56 |
| 16 | CANT Sanne | 57 |
| 17 | MACKAIJ Floortje | 57 |
| 19 | ARZUFFI Alice Maria | 52 |
| 20 | DEMEY Valerie | 56 |
| 21 | KASTELIJN Yara | 52 |
| 22 | GAFINOVITZ Rotem | 52 |
| 23 | STULTIENS Sabrina | 58 |
| 24 | GUDERZO Tatiana | 54 |
| 25 | NORMAN LETH Julie | 68 |
| 27 | SPRATT Amanda | 55 |
| 29 | WILLIAMS Georgia | 60 |
| 30 | PLICHTA Anna | 60 |
| 31 | KOREVAAR Jeanne | 59 |