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 = 2.5 * weight - 113
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Stoneham
4
67 kgNisbet
7
60 kgThompson
8
72 kgStokes
10
68 kgMolenaar
11
68 kgLarsson
12
60 kgPeace
16
64 kgLightfoot
17
57 kgRenaud-Tremblay
23
60 kgTapiz
27
61 kgVandevorst
30
74 kgMartínez
31
59 kgParham
55
68 kgGiammarella
63
62 kgSolen
66
67 kgGraff
68
68 kgTabiner
102
88 kgDerksen
112
69 kgMartín
129
56 kgKinsella
146
70 kgRomeo
151
80 kg
4
67 kgNisbet
7
60 kgThompson
8
72 kgStokes
10
68 kgMolenaar
11
68 kgLarsson
12
60 kgPeace
16
64 kgLightfoot
17
57 kgRenaud-Tremblay
23
60 kgTapiz
27
61 kgVandevorst
30
74 kgMartínez
31
59 kgParham
55
68 kgGiammarella
63
62 kgSolen
66
67 kgGraff
68
68 kgTabiner
102
88 kgDerksen
112
69 kgMartín
129
56 kgKinsella
146
70 kgRomeo
151
80 kg
Weight (KG) →
Result →
88
56
4
151
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | STONEHAM Angus | 67 |
| 7 | NISBET Cormac | 60 |
| 8 | THOMPSON David | 72 |
| 10 | STOKES Ben | 68 |
| 11 | MOLENAAR Ko | 68 |
| 12 | LARSSON Linus | 60 |
| 16 | PEACE Oliver | 64 |
| 17 | LIGHTFOOT Mark | 57 |
| 23 | RENAUD-TREMBLAY Sasha | 60 |
| 27 | TAPIZ Hugo | 61 |
| 30 | VANDEVORST Nio | 74 |
| 31 | MARTÍNEZ Rafael | 59 |
| 55 | PARHAM Darren | 68 |
| 63 | GIAMMARELLA Adamo | 62 |
| 66 | SOLEN Keije | 67 |
| 68 | GRAFF William | 68 |
| 102 | TABINER Raphael John | 88 |
| 112 | DERKSEN Jente | 69 |
| 129 | MARTÍN Marco | 56 |
| 146 | KINSELLA Tom | 70 |
| 151 | ROMEO Sergio | 80 |