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 = -0.7 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Villalobos
1
66 kgVan Moer
2
79 kgVerboom
5
84 kgHoole
6
81 kgSiebens
7
62 kgÖzgür
8
75 kgOreel
10
72 kgTulner
11
62 kgEekhoff
14
75 kgDriesen
18
71 kgHerregodts
19
70 kgBekaert
22
62 kgQuarterman
26
75 kgGoeman
28
64 kgNaberman
32
70 kgvan den Dool
36
68 kgWijfje
44
66 kg
1
66 kgVan Moer
2
79 kgVerboom
5
84 kgHoole
6
81 kgSiebens
7
62 kgÖzgür
8
75 kgOreel
10
72 kgTulner
11
62 kgEekhoff
14
75 kgDriesen
18
71 kgHerregodts
19
70 kgBekaert
22
62 kgQuarterman
26
75 kgGoeman
28
64 kgNaberman
32
70 kgvan den Dool
36
68 kgWijfje
44
66 kg
Weight (KG) →
Result →
84
62
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VILLALOBOS Luis | 66 |
| 2 | VAN MOER Brent | 79 |
| 5 | VERBOOM Minne | 84 |
| 6 | HOOLE Daan | 81 |
| 7 | SIEBENS Gianni | 62 |
| 8 | ÖZGÜR Batuhan | 75 |
| 10 | OREEL Lars | 72 |
| 11 | TULNER Rens | 62 |
| 14 | EEKHOFF Nils | 75 |
| 18 | DRIESEN Jarne | 71 |
| 19 | HERREGODTS Rune | 70 |
| 22 | BEKAERT Yentl | 62 |
| 26 | QUARTERMAN Charlie | 75 |
| 28 | GOEMAN Andreas | 64 |
| 32 | NABERMAN Tim | 70 |
| 36 | VAN DEN DOOL Jens | 68 |
| 44 | WIJFJE Tom | 66 |