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 - 43
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Stoneham
2
67 kgNisbet
8
60 kgStokes
10
68 kgLarsson
11
60 kgPeace
12
64 kgLightfoot
13
57 kgVandevorst
18
74 kgGraff
28
68 kgMolenaar
29
68 kgRenaud-Tremblay
36
60 kgMartínez
43
59 kgSolen
53
67 kgTabiner
78
88 kgDerksen
82
69 kgMartín
96
56 kgParham
104
68 kgKinsella
124
70 kg
2
67 kgNisbet
8
60 kgStokes
10
68 kgLarsson
11
60 kgPeace
12
64 kgLightfoot
13
57 kgVandevorst
18
74 kgGraff
28
68 kgMolenaar
29
68 kgRenaud-Tremblay
36
60 kgMartínez
43
59 kgSolen
53
67 kgTabiner
78
88 kgDerksen
82
69 kgMartín
96
56 kgParham
104
68 kgKinsella
124
70 kg
Weight (KG) →
Result →
88
56
2
124
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STONEHAM Angus | 67 |
| 8 | NISBET Cormac | 60 |
| 10 | STOKES Ben | 68 |
| 11 | LARSSON Linus | 60 |
| 12 | PEACE Oliver | 64 |
| 13 | LIGHTFOOT Mark | 57 |
| 18 | VANDEVORST Nio | 74 |
| 28 | GRAFF William | 68 |
| 29 | MOLENAAR Ko | 68 |
| 36 | RENAUD-TREMBLAY Sasha | 60 |
| 43 | MARTÍNEZ Rafael | 59 |
| 53 | SOLEN Keije | 67 |
| 78 | TABINER Raphael John | 88 |
| 82 | DERKSEN Jente | 69 |
| 96 | MARTÍN Marco | 56 |
| 104 | PARHAM Darren | 68 |
| 124 | KINSELLA Tom | 70 |