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 = -0.8 * weight + 81
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Riesebeek
1
78 kgJungels
2
70 kgChavanne
5
83 kgSchoonbroodt
9
78 kgOttema
10
77 kgEdmondson
12
62 kgTeuns
13
64 kgBosman
14
68 kgJaun
16
66 kgPellaud
17
70 kgStuyven
18
78 kgTeunissen
21
73 kgStöhr
24
72 kgHoller
28
58 kgStöhr
33
66 kgRaeymaekers
37
68 kgKirsch
39
78 kgvan der Haar
49
58 kgSuter
62
70 kg
1
78 kgJungels
2
70 kgChavanne
5
83 kgSchoonbroodt
9
78 kgOttema
10
77 kgEdmondson
12
62 kgTeuns
13
64 kgBosman
14
68 kgJaun
16
66 kgPellaud
17
70 kgStuyven
18
78 kgTeunissen
21
73 kgStöhr
24
72 kgHoller
28
58 kgStöhr
33
66 kgRaeymaekers
37
68 kgKirsch
39
78 kgvan der Haar
49
58 kgSuter
62
70 kg
Weight (KG) →
Result →
83
58
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIESEBEEK Oscar | 78 |
| 2 | JUNGELS Bob | 70 |
| 5 | CHAVANNE Gabriel | 83 |
| 9 | SCHOONBROODT Bob | 78 |
| 10 | OTTEMA Rick | 77 |
| 12 | EDMONDSON Joshua | 62 |
| 13 | TEUNS Dylan | 64 |
| 14 | BOSMAN Gert-Jan | 68 |
| 16 | JAUN Lukas | 66 |
| 17 | PELLAUD Simon | 70 |
| 18 | STUYVEN Jasper | 78 |
| 21 | TEUNISSEN Mike | 73 |
| 24 | STÖHR Ján | 72 |
| 28 | HOLLER Nikodemus | 58 |
| 33 | STÖHR Pavel | 66 |
| 37 | RAEYMAEKERS Mattias | 68 |
| 39 | KIRSCH Alex | 78 |
| 49 | VAN DER HAAR Lars | 58 |
| 62 | SUTER Gaël | 70 |