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 = -0.9 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Dillier
1
75 kgPellaud
2
70 kgJacobs
3
78 kgThièry
4
67 kgSuter
5
75 kgBissegger
6
78 kgSchmid
7
70 kgHirschi
8
61 kgLienhard
9
73 kgSchär
10
78 kgVoisard
12
56 kgImhof
13
80 kgColombo
14
73 kgRüegg
15
66 kgDebons
16
65 kgFrank
19
64 kgFrankiny
20
67 kgStüssi
23
68 kgRüegg
25
66 kgGachet
27
61 kgTambarikas
30
61 kgBachmann
34
69 kgGätzi
41
61 kg
1
75 kgPellaud
2
70 kgJacobs
3
78 kgThièry
4
67 kgSuter
5
75 kgBissegger
6
78 kgSchmid
7
70 kgHirschi
8
61 kgLienhard
9
73 kgSchär
10
78 kgVoisard
12
56 kgImhof
13
80 kgColombo
14
73 kgRüegg
15
66 kgDebons
16
65 kgFrank
19
64 kgFrankiny
20
67 kgStüssi
23
68 kgRüegg
25
66 kgGachet
27
61 kgTambarikas
30
61 kgBachmann
34
69 kgGätzi
41
61 kg
Weight (KG) →
Result →
80
56
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DILLIER Silvan | 75 |
| 2 | PELLAUD Simon | 70 |
| 3 | JACOBS Johan | 78 |
| 4 | THIÈRY Cyrille | 67 |
| 5 | SUTER Joel | 75 |
| 6 | BISSEGGER Stefan | 78 |
| 7 | SCHMID Mauro | 70 |
| 8 | HIRSCHI Marc | 61 |
| 9 | LIENHARD Fabian | 73 |
| 10 | SCHÄR Michael | 78 |
| 12 | VOISARD Yannis | 56 |
| 13 | IMHOF Claudio | 80 |
| 14 | COLOMBO Filippo | 73 |
| 15 | RÜEGG Lukas | 66 |
| 16 | DEBONS Antoine | 65 |
| 19 | FRANK Mathias | 64 |
| 20 | FRANKINY Kilian | 67 |
| 23 | STÜSSI Colin | 68 |
| 25 | RÜEGG Timon | 66 |
| 27 | GACHET Guillaume | 61 |
| 30 | TAMBARIKAS Nico | 61 |
| 34 | BACHMANN Laurin | 69 |
| 41 | GÄTZI Cyrill | 61 |