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 + 48
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Teklehaimanot
3
70 kgNiyonshuti
4
63 kgJelloul
5
58 kgJanse van Rensburg
6
74 kgBerhane
7
66 kgVerbist
11
73 kgCalleeuw
14
71 kgGrmay
16
63 kgJanse van Rensburg
26
63 kgMegías
37
63 kgGermain
42
60 kgChaoufi
46
65 kgLahsaini
47
77 kgBelgasem
52
68 kgCalabria
55
55 kgGreen
58
70 kgSoula
59
68 kg
3
70 kgNiyonshuti
4
63 kgJelloul
5
58 kgJanse van Rensburg
6
74 kgBerhane
7
66 kgVerbist
11
73 kgCalleeuw
14
71 kgGrmay
16
63 kgJanse van Rensburg
26
63 kgMegías
37
63 kgGermain
42
60 kgChaoufi
46
65 kgLahsaini
47
77 kgBelgasem
52
68 kgCalabria
55
55 kgGreen
58
70 kgSoula
59
68 kg
Weight (KG) →
Result →
77
55
3
59
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TEKLEHAIMANOT Daniel | 70 |
| 4 | NIYONSHUTI Adrien | 63 |
| 5 | JELLOUL Adil | 58 |
| 6 | JANSE VAN RENSBURG Reinardt | 74 |
| 7 | BERHANE Natnael | 66 |
| 11 | VERBIST Evert | 73 |
| 14 | CALLEEUW Joeri | 71 |
| 16 | GRMAY Tsgabu | 63 |
| 26 | JANSE VAN RENSBURG Jacques | 63 |
| 37 | MEGÍAS Javier | 63 |
| 42 | GERMAIN Chris | 60 |
| 46 | CHAOUFI Tarik | 65 |
| 47 | LAHSAINI Mouhssine | 77 |
| 52 | BELGASEM Ahmed Youssef | 68 |
| 55 | CALABRIA Fabio | 55 |
| 58 | GREEN Siméon | 70 |
| 59 | SOULA Guillaume | 68 |