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 = 0.3 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Zimmer
2
68 kgMilán
3
67 kgRoberge
6
72 kgCôté
9
74 kgLeplingard
10
68 kgRoth
11
70 kgGervais
14
72 kgSwirbul
15
65 kgHoehn
16
63 kgSchizzi
20
62 kgJuneau
23
67 kgVollmer
24
67 kgHaidet
25
59 kgMoazemi
28
70 kgÁlvarez
29
60 kgBeadle
31
64 kgConly
32
63 kgAlbrecht
36
62 kgde Keijzer
46
72.6 kgPalamarek
48
61 kgHecht
50
72 kgGee
56
72 kgJamieson
60
75 kg
2
68 kgMilán
3
67 kgRoberge
6
72 kgCôté
9
74 kgLeplingard
10
68 kgRoth
11
70 kgGervais
14
72 kgSwirbul
15
65 kgHoehn
16
63 kgSchizzi
20
62 kgJuneau
23
67 kgVollmer
24
67 kgHaidet
25
59 kgMoazemi
28
70 kgÁlvarez
29
60 kgBeadle
31
64 kgConly
32
63 kgAlbrecht
36
62 kgde Keijzer
46
72.6 kgPalamarek
48
61 kgHecht
50
72 kgGee
56
72 kgJamieson
60
75 kg
Weight (KG) →
Result →
75
59
2
60
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZIMMER Matt | 68 |
| 3 | MILÁN Diego | 67 |
| 6 | ROBERGE Adam | 72 |
| 9 | CÔTÉ Pier-André | 74 |
| 10 | LEPLINGARD Antoine | 68 |
| 11 | ROTH Ryan | 70 |
| 14 | GERVAIS Laurent | 72 |
| 15 | SWIRBUL Keegan | 65 |
| 16 | HOEHN Alex | 63 |
| 20 | SCHIZZI Vitor Zucco | 62 |
| 23 | JUNEAU Francis | 67 |
| 24 | VOLLMER Andrew | 67 |
| 25 | HAIDET Lance | 59 |
| 28 | MOAZEMI Arvin | 70 |
| 29 | ÁLVAREZ Miguel Luis | 60 |
| 31 | BEADLE Hamish | 64 |
| 32 | CONLY Lukas | 63 |
| 36 | ALBRECHT Jasper | 62 |
| 46 | DE KEIJZER Gerd | 72.6 |
| 48 | PALAMAREK Ethan | 61 |
| 50 | HECHT Gage | 72 |
| 56 | GEE Derek | 72 |
| 60 | JAMIESON Adam | 75 |