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 + 49
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Teklehaimanot
1
70 kgBerhane
2
66 kgJanse van Rensburg
3
74 kgJelloul
4
58 kgGrmay
5
63 kgNiyonshuti
8
63 kgJanse van Rensburg
17
63 kgChaoufi
21
65 kgLahsaini
24
77 kgMegías
27
63 kgVerbist
32
73 kgCalleeuw
41
71 kgSoula
44
68 kgBelgasem
48
68 kgGermain
51
60 kgGreen
60
70 kgCalabria
61
55 kg
1
70 kgBerhane
2
66 kgJanse van Rensburg
3
74 kgJelloul
4
58 kgGrmay
5
63 kgNiyonshuti
8
63 kgJanse van Rensburg
17
63 kgChaoufi
21
65 kgLahsaini
24
77 kgMegías
27
63 kgVerbist
32
73 kgCalleeuw
41
71 kgSoula
44
68 kgBelgasem
48
68 kgGermain
51
60 kgGreen
60
70 kgCalabria
61
55 kg
Weight (KG) →
Result →
77
55
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEKLEHAIMANOT Daniel | 70 |
| 2 | BERHANE Natnael | 66 |
| 3 | JANSE VAN RENSBURG Reinardt | 74 |
| 4 | JELLOUL Adil | 58 |
| 5 | GRMAY Tsgabu | 63 |
| 8 | NIYONSHUTI Adrien | 63 |
| 17 | JANSE VAN RENSBURG Jacques | 63 |
| 21 | CHAOUFI Tarik | 65 |
| 24 | LAHSAINI Mouhssine | 77 |
| 27 | MEGÍAS Javier | 63 |
| 32 | VERBIST Evert | 73 |
| 41 | CALLEEUW Joeri | 71 |
| 44 | SOULA Guillaume | 68 |
| 48 | BELGASEM Ahmed Youssef | 68 |
| 51 | GERMAIN Chris | 60 |
| 60 | GREEN Siméon | 70 |
| 61 | CALABRIA Fabio | 55 |