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 = -0.4 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Pickrell
2
72 kgLamperti
3
74 kgBourgoyne
4
66 kgSchandorff Iwersen
5
62 kgFroner
7
63 kgInkster
11
73 kgPlamondon
12
72 kgSirman
15
77 kgTuazon
18
55 kgLond
30
65 kgGuillemette
38
73 kgCarreau
41
68 kgRiccitello
44
55 kgHertz
49
68 kgJussaume
53
70 kgParisella
61
78 kgRussell
63
64 kgLydic
71
62 kgMenegon
76
59 kgKinniburgh
82
76 kgPedersen
83
71 kgSelivert
88
61 kg
2
72 kgLamperti
3
74 kgBourgoyne
4
66 kgSchandorff Iwersen
5
62 kgFroner
7
63 kgInkster
11
73 kgPlamondon
12
72 kgSirman
15
77 kgTuazon
18
55 kgLond
30
65 kgGuillemette
38
73 kgCarreau
41
68 kgRiccitello
44
55 kgHertz
49
68 kgJussaume
53
70 kgParisella
61
78 kgRussell
63
64 kgLydic
71
62 kgMenegon
76
59 kgKinniburgh
82
76 kgPedersen
83
71 kgSelivert
88
61 kg
Weight (KG) →
Result →
78
55
2
88
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PICKRELL Riley | 72 |
| 3 | LAMPERTI Luke | 74 |
| 4 | BOURGOYNE Lucas | 66 |
| 5 | SCHANDORFF IWERSEN Emil | 62 |
| 7 | FRONER Axel | 63 |
| 11 | INKSTER Eric | 73 |
| 12 | PLAMONDON Joel | 72 |
| 15 | SIRMAN Jack | 77 |
| 18 | TUAZON Ron Francoise | 55 |
| 30 | LOND Daniel | 65 |
| 38 | GUILLEMETTE Mathias | 73 |
| 41 | CARREAU Lukas | 68 |
| 44 | RICCITELLO Matthew | 55 |
| 49 | HERTZ Benjamin | 68 |
| 53 | JUSSAUME Tristan | 70 |
| 61 | PARISELLA Raphael | 78 |
| 63 | RUSSELL Evan | 64 |
| 71 | LYDIC Andrew | 62 |
| 76 | MENEGON Nicholas | 59 |
| 82 | KINNIBURGH Jackson | 76 |
| 83 | PEDERSEN Ellis | 71 |
| 88 | SELIVERT Fabien | 61 |