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 = 0.1 * weight + 31
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Riccitello
2
55 kgLamperti
4
74 kgHertz
6
68 kgGuillemette
7
73 kgJussaume
10
70 kgBourgoyne
13
66 kgRussell
17
64 kgKinniburgh
23
76 kgPlamondon
26
72 kgCarreau
28
68 kgSchandorff Iwersen
38
62 kgTuazon
51
55 kgSelivert
52
61 kgFroner
53
63 kgPickrell
58
72 kgSirman
59
77 kgInkster
64
73 kgPedersen
67
71 kgLydic
70
62 kgMenegon
72
59 kgLond
84
65 kgParisella
96
78 kg
2
55 kgLamperti
4
74 kgHertz
6
68 kgGuillemette
7
73 kgJussaume
10
70 kgBourgoyne
13
66 kgRussell
17
64 kgKinniburgh
23
76 kgPlamondon
26
72 kgCarreau
28
68 kgSchandorff Iwersen
38
62 kgTuazon
51
55 kgSelivert
52
61 kgFroner
53
63 kgPickrell
58
72 kgSirman
59
77 kgInkster
64
73 kgPedersen
67
71 kgLydic
70
62 kgMenegon
72
59 kgLond
84
65 kgParisella
96
78 kg
Weight (KG) →
Result →
78
55
2
96
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RICCITELLO Matthew | 55 |
| 4 | LAMPERTI Luke | 74 |
| 6 | HERTZ Benjamin | 68 |
| 7 | GUILLEMETTE Mathias | 73 |
| 10 | JUSSAUME Tristan | 70 |
| 13 | BOURGOYNE Lucas | 66 |
| 17 | RUSSELL Evan | 64 |
| 23 | KINNIBURGH Jackson | 76 |
| 26 | PLAMONDON Joel | 72 |
| 28 | CARREAU Lukas | 68 |
| 38 | SCHANDORFF IWERSEN Emil | 62 |
| 51 | TUAZON Ron Francoise | 55 |
| 52 | SELIVERT Fabien | 61 |
| 53 | FRONER Axel | 63 |
| 58 | PICKRELL Riley | 72 |
| 59 | SIRMAN Jack | 77 |
| 64 | INKSTER Eric | 73 |
| 67 | PEDERSEN Ellis | 71 |
| 70 | LYDIC Andrew | 62 |
| 72 | MENEGON Nicholas | 59 |
| 84 | LOND Daniel | 65 |
| 96 | PARISELLA Raphael | 78 |