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 = 0.3 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Riccitello
2
55 kgCarreau
3
68 kgSchandorff Iwersen
9
62 kgBourgoyne
14
66 kgHertz
16
68 kgLamperti
18
74 kgGuillemette
19
73 kgJussaume
21
70 kgPlamondon
26
72 kgPickrell
33
72 kgTuazon
36
55 kgKinniburgh
37
76 kgInkster
41
73 kgLydic
45
62 kgMenegon
48
59 kgRussell
50
64 kgParisella
57
78 kgLond
58
65 kgSirman
61
77 kgFroner
63
63 kgSelivert
72
61 kgPedersen
83
71 kg
2
55 kgCarreau
3
68 kgSchandorff Iwersen
9
62 kgBourgoyne
14
66 kgHertz
16
68 kgLamperti
18
74 kgGuillemette
19
73 kgJussaume
21
70 kgPlamondon
26
72 kgPickrell
33
72 kgTuazon
36
55 kgKinniburgh
37
76 kgInkster
41
73 kgLydic
45
62 kgMenegon
48
59 kgRussell
50
64 kgParisella
57
78 kgLond
58
65 kgSirman
61
77 kgFroner
63
63 kgSelivert
72
61 kgPedersen
83
71 kg
Weight (KG) →
Result →
78
55
2
83
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RICCITELLO Matthew | 55 |
| 3 | CARREAU Lukas | 68 |
| 9 | SCHANDORFF IWERSEN Emil | 62 |
| 14 | BOURGOYNE Lucas | 66 |
| 16 | HERTZ Benjamin | 68 |
| 18 | LAMPERTI Luke | 74 |
| 19 | GUILLEMETTE Mathias | 73 |
| 21 | JUSSAUME Tristan | 70 |
| 26 | PLAMONDON Joel | 72 |
| 33 | PICKRELL Riley | 72 |
| 36 | TUAZON Ron Francoise | 55 |
| 37 | KINNIBURGH Jackson | 76 |
| 41 | INKSTER Eric | 73 |
| 45 | LYDIC Andrew | 62 |
| 48 | MENEGON Nicholas | 59 |
| 50 | RUSSELL Evan | 64 |
| 57 | PARISELLA Raphael | 78 |
| 58 | LOND Daniel | 65 |
| 61 | SIRMAN Jack | 77 |
| 63 | FRONER Axel | 63 |
| 72 | SELIVERT Fabien | 61 |
| 83 | PEDERSEN Ellis | 71 |