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 = 1.3 * weight - 45
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Stoneham
2
67 kgVandevorst
8
74 kgLarsson
12
60 kgLightfoot
13
57 kgGraff
14
68 kgStokes
17
68 kgNisbet
19
60 kgMartín
24
56 kgPeace
26
64 kgDerksen
33
69 kgSolen
39
67 kgMartínez
54
59 kgTabiner
72
88 kgMolenaar
74
68 kgRenaud-Tremblay
78
60 kgParham
112
68 kgKinsella
122
70 kg
2
67 kgVandevorst
8
74 kgLarsson
12
60 kgLightfoot
13
57 kgGraff
14
68 kgStokes
17
68 kgNisbet
19
60 kgMartín
24
56 kgPeace
26
64 kgDerksen
33
69 kgSolen
39
67 kgMartínez
54
59 kgTabiner
72
88 kgMolenaar
74
68 kgRenaud-Tremblay
78
60 kgParham
112
68 kgKinsella
122
70 kg
Weight (KG) →
Result →
88
56
2
122
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STONEHAM Angus | 67 |
| 8 | VANDEVORST Nio | 74 |
| 12 | LARSSON Linus | 60 |
| 13 | LIGHTFOOT Mark | 57 |
| 14 | GRAFF William | 68 |
| 17 | STOKES Ben | 68 |
| 19 | NISBET Cormac | 60 |
| 24 | MARTÍN Marco | 56 |
| 26 | PEACE Oliver | 64 |
| 33 | DERKSEN Jente | 69 |
| 39 | SOLEN Keije | 67 |
| 54 | MARTÍNEZ Rafael | 59 |
| 72 | TABINER Raphael John | 88 |
| 74 | MOLENAAR Ko | 68 |
| 78 | RENAUD-TREMBLAY Sasha | 60 |
| 112 | PARHAM Darren | 68 |
| 122 | KINSELLA Tom | 70 |