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 = -1.2 * weight + 127
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Teuns
1
64 kgMyngheer
2
74 kgTeunissen
4
73 kgVan Lerberghe
5
83 kgde Man
13
68 kgDe Winter
24
83 kgMeurisse
26
68 kgDe Tier
37
60 kgVanthourenhout
47
62 kgGroen
50
70.5 kgVermeulen
52
64 kgvan der Hoorn
54
73 kgDe Rooze
67
62 kgEyskens
80
68 kgMaes
86
72 kgMeijers
91
68 kgDegreve
93
72 kg
1
64 kgMyngheer
2
74 kgTeunissen
4
73 kgVan Lerberghe
5
83 kgde Man
13
68 kgDe Winter
24
83 kgMeurisse
26
68 kgDe Tier
37
60 kgVanthourenhout
47
62 kgGroen
50
70.5 kgVermeulen
52
64 kgvan der Hoorn
54
73 kgDe Rooze
67
62 kgEyskens
80
68 kgMaes
86
72 kgMeijers
91
68 kgDegreve
93
72 kg
Weight (KG) →
Result →
83
60
1
93
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEUNS Dylan | 64 |
| 2 | MYNGHEER Daan | 74 |
| 4 | TEUNISSEN Mike | 73 |
| 5 | VAN LERBERGHE Bert | 83 |
| 13 | DE MAN Jaap | 68 |
| 24 | DE WINTER Ludwig | 83 |
| 26 | MEURISSE Xandro | 68 |
| 37 | DE TIER Floris | 60 |
| 47 | VANTHOURENHOUT Michael | 62 |
| 50 | GROEN Ike | 70.5 |
| 52 | VERMEULEN Emiel | 64 |
| 54 | VAN DER HOORN Taco | 73 |
| 67 | DE ROOZE Niels | 62 |
| 80 | EYSKENS Jeroen | 68 |
| 86 | MAES Alexander | 72 |
| 91 | MEIJERS Jeroen | 68 |
| 93 | DEGREVE Martijn | 72 |