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 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Calleeuw
6
71 kgVerbist
7
73 kgSoula
8
68 kgVerschoor
10
74.5 kgTeklehaimanot
13
70 kgJanse van Rensburg
14
74 kgChaoufi
15
65 kgBerhane
16
66 kgNiyonshuti
18
63 kgJelloul
20
58 kgCraven
21
75 kgGrmay
22
63 kgJanse van Rensburg
28
63 kgLahsaini
29
77 kgBelgasem
44
68 kgGermain
50
60 kgJim
52
66 kgCalabria
58
55 kgMegías
60
63 kgGreen
64
70 kgEldridge
84
84 kg
6
71 kgVerbist
7
73 kgSoula
8
68 kgVerschoor
10
74.5 kgTeklehaimanot
13
70 kgJanse van Rensburg
14
74 kgChaoufi
15
65 kgBerhane
16
66 kgNiyonshuti
18
63 kgJelloul
20
58 kgCraven
21
75 kgGrmay
22
63 kgJanse van Rensburg
28
63 kgLahsaini
29
77 kgBelgasem
44
68 kgGermain
50
60 kgJim
52
66 kgCalabria
58
55 kgMegías
60
63 kgGreen
64
70 kgEldridge
84
84 kg
Weight (KG) →
Result →
84
55
6
84
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | CALLEEUW Joeri | 71 |
| 7 | VERBIST Evert | 73 |
| 8 | SOULA Guillaume | 68 |
| 10 | VERSCHOOR Martijn | 74.5 |
| 13 | TEKLEHAIMANOT Daniel | 70 |
| 14 | JANSE VAN RENSBURG Reinardt | 74 |
| 15 | CHAOUFI Tarik | 65 |
| 16 | BERHANE Natnael | 66 |
| 18 | NIYONSHUTI Adrien | 63 |
| 20 | JELLOUL Adil | 58 |
| 21 | CRAVEN Dan | 75 |
| 22 | GRMAY Tsgabu | 63 |
| 28 | JANSE VAN RENSBURG Jacques | 63 |
| 29 | LAHSAINI Mouhssine | 77 |
| 44 | BELGASEM Ahmed Youssef | 68 |
| 50 | GERMAIN Chris | 60 |
| 52 | JIM Songezo | 66 |
| 58 | CALABRIA Fabio | 55 |
| 60 | MEGÍAS Javier | 63 |
| 64 | GREEN Siméon | 70 |
| 84 | ELDRIDGE Joe | 84 |