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 + 21
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Chaoufi
1
65 kgTeklehaimanot
2
70 kgBerhane
5
66 kgJelloul
7
58 kgGrmay
9
63 kgNiyonshuti
10
63 kgJanse van Rensburg
11
74 kgLahsaini
14
77 kgMegías
20
63 kgJanse van Rensburg
24
63 kgVerbist
42
73 kgCalabria
49
55 kgGermain
51
60 kgCalleeuw
54
71 kgBelgasem
56
68 kgSoula
57
68 kgGreen
62
70 kg
1
65 kgTeklehaimanot
2
70 kgBerhane
5
66 kgJelloul
7
58 kgGrmay
9
63 kgNiyonshuti
10
63 kgJanse van Rensburg
11
74 kgLahsaini
14
77 kgMegías
20
63 kgJanse van Rensburg
24
63 kgVerbist
42
73 kgCalabria
49
55 kgGermain
51
60 kgCalleeuw
54
71 kgBelgasem
56
68 kgSoula
57
68 kgGreen
62
70 kg
Weight (KG) →
Result →
77
55
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAOUFI Tarik | 65 |
| 2 | TEKLEHAIMANOT Daniel | 70 |
| 5 | BERHANE Natnael | 66 |
| 7 | JELLOUL Adil | 58 |
| 9 | GRMAY Tsgabu | 63 |
| 10 | NIYONSHUTI Adrien | 63 |
| 11 | JANSE VAN RENSBURG Reinardt | 74 |
| 14 | LAHSAINI Mouhssine | 77 |
| 20 | MEGÍAS Javier | 63 |
| 24 | JANSE VAN RENSBURG Jacques | 63 |
| 42 | VERBIST Evert | 73 |
| 49 | CALABRIA Fabio | 55 |
| 51 | GERMAIN Chris | 60 |
| 54 | CALLEEUW Joeri | 71 |
| 56 | BELGASEM Ahmed Youssef | 68 |
| 57 | SOULA Guillaume | 68 |
| 62 | GREEN Siméon | 70 |