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 - 12
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Teklehaimanot
1
70 kgJelloul
2
58 kgBerhane
5
66 kgGrmay
6
63 kgNiyonshuti
7
63 kgCraven
13
75 kgJanse van Rensburg
19
74 kgChaoufi
22
65 kgJanse van Rensburg
23
63 kgLahsaini
26
77 kgVerschoor
39
74.5 kgBelgasem
45
68 kgVerbist
51
73 kgJim
53
66 kgCalabria
57
55 kgSoula
62
68 kgMegías
64
63 kgGermain
80
60 kgCalleeuw
82
71 kgEldridge
86
84 kgGreen
89
70 kg
1
70 kgJelloul
2
58 kgBerhane
5
66 kgGrmay
6
63 kgNiyonshuti
7
63 kgCraven
13
75 kgJanse van Rensburg
19
74 kgChaoufi
22
65 kgJanse van Rensburg
23
63 kgLahsaini
26
77 kgVerschoor
39
74.5 kgBelgasem
45
68 kgVerbist
51
73 kgJim
53
66 kgCalabria
57
55 kgSoula
62
68 kgMegías
64
63 kgGermain
80
60 kgCalleeuw
82
71 kgEldridge
86
84 kgGreen
89
70 kg
Weight (KG) →
Result →
84
55
1
89
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEKLEHAIMANOT Daniel | 70 |
| 2 | JELLOUL Adil | 58 |
| 5 | BERHANE Natnael | 66 |
| 6 | GRMAY Tsgabu | 63 |
| 7 | NIYONSHUTI Adrien | 63 |
| 13 | CRAVEN Dan | 75 |
| 19 | JANSE VAN RENSBURG Reinardt | 74 |
| 22 | CHAOUFI Tarik | 65 |
| 23 | JANSE VAN RENSBURG Jacques | 63 |
| 26 | LAHSAINI Mouhssine | 77 |
| 39 | VERSCHOOR Martijn | 74.5 |
| 45 | BELGASEM Ahmed Youssef | 68 |
| 51 | VERBIST Evert | 73 |
| 53 | JIM Songezo | 66 |
| 57 | CALABRIA Fabio | 55 |
| 62 | SOULA Guillaume | 68 |
| 64 | MEGÍAS Javier | 63 |
| 80 | GERMAIN Chris | 60 |
| 82 | CALLEEUW Joeri | 71 |
| 86 | ELDRIDGE Joe | 84 |
| 89 | GREEN Siméon | 70 |