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 = -2.3 * weight + 202
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Craddock
1
69 kgNorman Leth
2
75 kgÖrken
3
69 kgKragh Andersen
4
72 kgVakoč
6
68 kgKüng
11
83 kgChavanne
12
83 kgGrosu
17
68 kgAyazbayev
19
75 kgLienhard
20
73 kgStüssi
36
68 kgPellaud
39
70 kgForster
47
68 kgRoosen
51
78 kgMeintjes
56
58 kgKolář
60
90 kgSuter
63
70 kgJulius
102
59 kgThalmann
113
61 kgBaillifard
127
54 kg
1
69 kgNorman Leth
2
75 kgÖrken
3
69 kgKragh Andersen
4
72 kgVakoč
6
68 kgKüng
11
83 kgChavanne
12
83 kgGrosu
17
68 kgAyazbayev
19
75 kgLienhard
20
73 kgStüssi
36
68 kgPellaud
39
70 kgForster
47
68 kgRoosen
51
78 kgMeintjes
56
58 kgKolář
60
90 kgSuter
63
70 kgJulius
102
59 kgThalmann
113
61 kgBaillifard
127
54 kg
Weight (KG) →
Result →
90
54
1
127
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CRADDOCK Lawson | 69 |
| 2 | NORMAN LETH Lasse | 75 |
| 3 | ÖRKEN Ahmet | 69 |
| 4 | KRAGH ANDERSEN Asbjørn | 72 |
| 6 | VAKOČ Petr | 68 |
| 11 | KÜNG Stefan | 83 |
| 12 | CHAVANNE Gabriel | 83 |
| 17 | GROSU Eduard-Michael | 68 |
| 19 | AYAZBAYEV Maxat | 75 |
| 20 | LIENHARD Fabian | 73 |
| 36 | STÜSSI Colin | 68 |
| 39 | PELLAUD Simon | 70 |
| 47 | FORSTER Lars | 68 |
| 51 | ROOSEN Timo | 78 |
| 56 | MEINTJES Louis | 58 |
| 60 | KOLÁŘ Michael | 90 |
| 63 | SUTER Gaël | 70 |
| 102 | JULIUS Jayde | 59 |
| 113 | THALMANN Roland | 61 |
| 127 | BAILLIFARD Valentin | 54 |