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 + 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Verbist
7
73 kgJanse van Rensburg
11
63 kgTeklehaimanot
12
70 kgJanse van Rensburg
14
74 kgJelloul
15
58 kgGrmay
16
63 kgNiyonshuti
17
63 kgBerhane
18
66 kgChaoufi
20
65 kgMegías
29
63 kgLahsaini
32
77 kgBelgasem
35
68 kgSoula
43
68 kgCalabria
49
55 kgGermain
56
60 kgCalleeuw
61
71 kgCraven
64
75 kgGreen
71
70 kg
7
73 kgJanse van Rensburg
11
63 kgTeklehaimanot
12
70 kgJanse van Rensburg
14
74 kgJelloul
15
58 kgGrmay
16
63 kgNiyonshuti
17
63 kgBerhane
18
66 kgChaoufi
20
65 kgMegías
29
63 kgLahsaini
32
77 kgBelgasem
35
68 kgSoula
43
68 kgCalabria
49
55 kgGermain
56
60 kgCalleeuw
61
71 kgCraven
64
75 kgGreen
71
70 kg
Weight (KG) →
Result →
77
55
7
71
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | VERBIST Evert | 73 |
| 11 | JANSE VAN RENSBURG Jacques | 63 |
| 12 | TEKLEHAIMANOT Daniel | 70 |
| 14 | JANSE VAN RENSBURG Reinardt | 74 |
| 15 | JELLOUL Adil | 58 |
| 16 | GRMAY Tsgabu | 63 |
| 17 | NIYONSHUTI Adrien | 63 |
| 18 | BERHANE Natnael | 66 |
| 20 | CHAOUFI Tarik | 65 |
| 29 | MEGÍAS Javier | 63 |
| 32 | LAHSAINI Mouhssine | 77 |
| 35 | BELGASEM Ahmed Youssef | 68 |
| 43 | SOULA Guillaume | 68 |
| 49 | CALABRIA Fabio | 55 |
| 56 | GERMAIN Chris | 60 |
| 61 | CALLEEUW Joeri | 71 |
| 64 | CRAVEN Dan | 75 |
| 71 | GREEN Siméon | 70 |