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 + 80
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Berhane
1
66 kgTeklehaimanot
2
70 kgJanse van Rensburg
3
74 kgJelloul
4
58 kgGrmay
5
63 kgChaoufi
7
65 kgNiyonshuti
17
63 kgLahsaini
23
77 kgCalleeuw
26
71 kgVerbist
38
73 kgJanse van Rensburg
40
63 kgMegías
42
63 kgSoula
43
68 kgBelgasem
45
68 kgCalabria
60
55 kgGreen
61
70 kgGermain
64
60 kg
1
66 kgTeklehaimanot
2
70 kgJanse van Rensburg
3
74 kgJelloul
4
58 kgGrmay
5
63 kgChaoufi
7
65 kgNiyonshuti
17
63 kgLahsaini
23
77 kgCalleeuw
26
71 kgVerbist
38
73 kgJanse van Rensburg
40
63 kgMegías
42
63 kgSoula
43
68 kgBelgasem
45
68 kgCalabria
60
55 kgGreen
61
70 kgGermain
64
60 kg
Weight (KG) →
Result →
77
55
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERHANE Natnael | 66 |
| 2 | TEKLEHAIMANOT Daniel | 70 |
| 3 | JANSE VAN RENSBURG Reinardt | 74 |
| 4 | JELLOUL Adil | 58 |
| 5 | GRMAY Tsgabu | 63 |
| 7 | CHAOUFI Tarik | 65 |
| 17 | NIYONSHUTI Adrien | 63 |
| 23 | LAHSAINI Mouhssine | 77 |
| 26 | CALLEEUW Joeri | 71 |
| 38 | VERBIST Evert | 73 |
| 40 | JANSE VAN RENSBURG Jacques | 63 |
| 42 | MEGÍAS Javier | 63 |
| 43 | SOULA Guillaume | 68 |
| 45 | BELGASEM Ahmed Youssef | 68 |
| 60 | CALABRIA Fabio | 55 |
| 61 | GREEN Siméon | 70 |
| 64 | GERMAIN Chris | 60 |