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 * weight - 32
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Bourgoyne
1
66 kgLamperti
2
74 kgSchandorff Iwersen
6
62 kgPickrell
10
72 kgTuazon
13
55 kgInkster
17
73 kgRiccitello
21
55 kgFroner
26
63 kgCarreau
27
68 kgJussaume
29
70 kgMenegon
33
59 kgLond
39
65 kgLydic
41
62 kgSirman
42
77 kgRussell
49
64 kgKinniburgh
51
76 kgPlamondon
52
72 kgSelivert
58
61 kgGuillemette
61
73 kgParisella
64
78 kgHertz
85
68 kgPedersen
91
71 kg
1
66 kgLamperti
2
74 kgSchandorff Iwersen
6
62 kgPickrell
10
72 kgTuazon
13
55 kgInkster
17
73 kgRiccitello
21
55 kgFroner
26
63 kgCarreau
27
68 kgJussaume
29
70 kgMenegon
33
59 kgLond
39
65 kgLydic
41
62 kgSirman
42
77 kgRussell
49
64 kgKinniburgh
51
76 kgPlamondon
52
72 kgSelivert
58
61 kgGuillemette
61
73 kgParisella
64
78 kgHertz
85
68 kgPedersen
91
71 kg
Weight (KG) →
Result →
78
55
1
91
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOURGOYNE Lucas | 66 |
| 2 | LAMPERTI Luke | 74 |
| 6 | SCHANDORFF IWERSEN Emil | 62 |
| 10 | PICKRELL Riley | 72 |
| 13 | TUAZON Ron Francoise | 55 |
| 17 | INKSTER Eric | 73 |
| 21 | RICCITELLO Matthew | 55 |
| 26 | FRONER Axel | 63 |
| 27 | CARREAU Lukas | 68 |
| 29 | JUSSAUME Tristan | 70 |
| 33 | MENEGON Nicholas | 59 |
| 39 | LOND Daniel | 65 |
| 41 | LYDIC Andrew | 62 |
| 42 | SIRMAN Jack | 77 |
| 49 | RUSSELL Evan | 64 |
| 51 | KINNIBURGH Jackson | 76 |
| 52 | PLAMONDON Joel | 72 |
| 58 | SELIVERT Fabien | 61 |
| 61 | GUILLEMETTE Mathias | 73 |
| 64 | PARISELLA Raphael | 78 |
| 85 | HERTZ Benjamin | 68 |
| 91 | PEDERSEN Ellis | 71 |