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 + 66
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Pickrell
1
72 kgLamperti
2
74 kgBourgoyne
4
66 kgSelivert
7
61 kgGuillemette
10
73 kgHertz
18
68 kgParisella
20
78 kgSirman
21
77 kgTuazon
39
55 kgLydic
40
62 kgRussell
43
64 kgSchandorff Iwersen
49
62 kgRiccitello
52
55 kgPlamondon
54
72 kgLond
56
65 kgCarreau
61
68 kgMenegon
62
59 kgPedersen
67
71 kgJussaume
72
70 kgFroner
75
63 kgKinniburgh
89
76 kgInkster
94
73 kg
1
72 kgLamperti
2
74 kgBourgoyne
4
66 kgSelivert
7
61 kgGuillemette
10
73 kgHertz
18
68 kgParisella
20
78 kgSirman
21
77 kgTuazon
39
55 kgLydic
40
62 kgRussell
43
64 kgSchandorff Iwersen
49
62 kgRiccitello
52
55 kgPlamondon
54
72 kgLond
56
65 kgCarreau
61
68 kgMenegon
62
59 kgPedersen
67
71 kgJussaume
72
70 kgFroner
75
63 kgKinniburgh
89
76 kgInkster
94
73 kg
Weight (KG) →
Result →
78
55
1
94
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PICKRELL Riley | 72 |
| 2 | LAMPERTI Luke | 74 |
| 4 | BOURGOYNE Lucas | 66 |
| 7 | SELIVERT Fabien | 61 |
| 10 | GUILLEMETTE Mathias | 73 |
| 18 | HERTZ Benjamin | 68 |
| 20 | PARISELLA Raphael | 78 |
| 21 | SIRMAN Jack | 77 |
| 39 | TUAZON Ron Francoise | 55 |
| 40 | LYDIC Andrew | 62 |
| 43 | RUSSELL Evan | 64 |
| 49 | SCHANDORFF IWERSEN Emil | 62 |
| 52 | RICCITELLO Matthew | 55 |
| 54 | PLAMONDON Joel | 72 |
| 56 | LOND Daniel | 65 |
| 61 | CARREAU Lukas | 68 |
| 62 | MENEGON Nicholas | 59 |
| 67 | PEDERSEN Ellis | 71 |
| 72 | JUSSAUME Tristan | 70 |
| 75 | FRONER Axel | 63 |
| 89 | KINNIBURGH Jackson | 76 |
| 94 | INKSTER Eric | 73 |