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 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Ariesen
1
70 kgHutarovich
2
71 kgTronet
3
67 kgBarbier
4
79 kgHoelgaard
5
77 kgParrinello
7
68 kgVermeersch
8
68 kgJules
9
64 kgDupont
10
72 kgGate
11
71 kgMaldonado
12
57 kgKruopis
13
80 kgTusveld
17
70 kgVachon
20
65 kgHuppertz
21
66 kgVaubourzeix
22
70 kgRapps
23
73 kgDegreve
25
72 kgBudding
27
74 kg
1
70 kgHutarovich
2
71 kgTronet
3
67 kgBarbier
4
79 kgHoelgaard
5
77 kgParrinello
7
68 kgVermeersch
8
68 kgJules
9
64 kgDupont
10
72 kgGate
11
71 kgMaldonado
12
57 kgKruopis
13
80 kgTusveld
17
70 kgVachon
20
65 kgHuppertz
21
66 kgVaubourzeix
22
70 kgRapps
23
73 kgDegreve
25
72 kgBudding
27
74 kg
Weight (KG) →
Result →
80
57
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARIESEN Johim | 70 |
| 2 | HUTAROVICH Yauheni | 71 |
| 3 | TRONET Steven | 67 |
| 4 | BARBIER Rudy | 79 |
| 5 | HOELGAARD Daniel | 77 |
| 7 | PARRINELLO Antonino | 68 |
| 8 | VERMEERSCH Gianni | 68 |
| 9 | JULES Justin | 64 |
| 10 | DUPONT Timothy | 72 |
| 11 | GATE Aaron | 71 |
| 12 | MALDONADO Anthony | 57 |
| 13 | KRUOPIS Aidis | 80 |
| 17 | TUSVELD Martijn | 70 |
| 20 | VACHON Florian | 65 |
| 21 | HUPPERTZ Joshua | 66 |
| 22 | VAUBOURZEIX Thomas | 70 |
| 23 | RAPPS Dario | 73 |
| 25 | DEGREVE Martijn | 72 |
| 27 | BUDDING Martijn | 74 |