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 = 0.1 * weight + 31
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Janse van Rensburg
1
74 kgTeklehaimanot
2
70 kgCraven
3
75 kgNiyonshuti
5
63 kgBerhane
7
66 kgJelloul
9
58 kgLahsaini
14
77 kgGrmay
21
63 kgChaoufi
23
65 kgJanse van Rensburg
29
63 kgVerschoor
37
74.5 kgCalleeuw
39
71 kgJim
47
66 kgGermain
54
60 kgBelgasem
56
68 kgMegías
58
63 kgSoula
63
68 kgVerbist
71
73 kgGreen
76
70 kgCalabria
82
55 kgEldridge
84
84 kg
1
74 kgTeklehaimanot
2
70 kgCraven
3
75 kgNiyonshuti
5
63 kgBerhane
7
66 kgJelloul
9
58 kgLahsaini
14
77 kgGrmay
21
63 kgChaoufi
23
65 kgJanse van Rensburg
29
63 kgVerschoor
37
74.5 kgCalleeuw
39
71 kgJim
47
66 kgGermain
54
60 kgBelgasem
56
68 kgMegías
58
63 kgSoula
63
68 kgVerbist
71
73 kgGreen
76
70 kgCalabria
82
55 kgEldridge
84
84 kg
Weight (KG) →
Result →
84
55
1
84
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JANSE VAN RENSBURG Reinardt | 74 |
| 2 | TEKLEHAIMANOT Daniel | 70 |
| 3 | CRAVEN Dan | 75 |
| 5 | NIYONSHUTI Adrien | 63 |
| 7 | BERHANE Natnael | 66 |
| 9 | JELLOUL Adil | 58 |
| 14 | LAHSAINI Mouhssine | 77 |
| 21 | GRMAY Tsgabu | 63 |
| 23 | CHAOUFI Tarik | 65 |
| 29 | JANSE VAN RENSBURG Jacques | 63 |
| 37 | VERSCHOOR Martijn | 74.5 |
| 39 | CALLEEUW Joeri | 71 |
| 47 | JIM Songezo | 66 |
| 54 | GERMAIN Chris | 60 |
| 56 | BELGASEM Ahmed Youssef | 68 |
| 58 | MEGÍAS Javier | 63 |
| 63 | SOULA Guillaume | 68 |
| 71 | VERBIST Evert | 73 |
| 76 | GREEN Siméon | 70 |
| 82 | CALABRIA Fabio | 55 |
| 84 | ELDRIDGE Joe | 84 |