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 = -0.4 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Janse van Rensburg
4
63 kgTeklehaimanot
5
70 kgJanse van Rensburg
6
74 kgBerhane
8
66 kgJelloul
9
58 kgNiyonshuti
11
63 kgGrmay
12
63 kgLahsaini
24
77 kgVerbist
33
73 kgMegías
42
63 kgChaoufi
43
65 kgBelgasem
44
68 kgGermain
47
60 kgGreen
48
70 kgSoula
49
68 kgCalleeuw
50
71 kgCalabria
61
55 kg
4
63 kgTeklehaimanot
5
70 kgJanse van Rensburg
6
74 kgBerhane
8
66 kgJelloul
9
58 kgNiyonshuti
11
63 kgGrmay
12
63 kgLahsaini
24
77 kgVerbist
33
73 kgMegías
42
63 kgChaoufi
43
65 kgBelgasem
44
68 kgGermain
47
60 kgGreen
48
70 kgSoula
49
68 kgCalleeuw
50
71 kgCalabria
61
55 kg
Weight (KG) →
Result →
77
55
4
61
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | JANSE VAN RENSBURG Jacques | 63 |
| 5 | TEKLEHAIMANOT Daniel | 70 |
| 6 | JANSE VAN RENSBURG Reinardt | 74 |
| 8 | BERHANE Natnael | 66 |
| 9 | JELLOUL Adil | 58 |
| 11 | NIYONSHUTI Adrien | 63 |
| 12 | GRMAY Tsgabu | 63 |
| 24 | LAHSAINI Mouhssine | 77 |
| 33 | VERBIST Evert | 73 |
| 42 | MEGÍAS Javier | 63 |
| 43 | CHAOUFI Tarik | 65 |
| 44 | BELGASEM Ahmed Youssef | 68 |
| 47 | GERMAIN Chris | 60 |
| 48 | GREEN Siméon | 70 |
| 49 | SOULA Guillaume | 68 |
| 50 | CALLEEUW Joeri | 71 |
| 61 | CALABRIA Fabio | 55 |