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.
Camargo
1
65 kgGaffuri
2
67 kgSevilla
3
62 kgPlamondon
4
72 kgMiles
10
64 kgOliver
12
71 kgParedes
14
66 kgStokes
18
68 kgGervais
19
72 kgPettiti
22
62 kgPeloquin
25
67 kgLutz-Atkinson
26
68 kgMcDunphy
31
70 kgStrohmeyer
32
55 kgRussell
34
64 kgCouture
36
67 kgGingras
47
58 kgGagné
50
64 kgTruffer
51
73 kgCastillo
52
72 kg
1
65 kgGaffuri
2
67 kgSevilla
3
62 kgPlamondon
4
72 kgMiles
10
64 kgOliver
12
71 kgParedes
14
66 kgStokes
18
68 kgGervais
19
72 kgPettiti
22
62 kgPeloquin
25
67 kgLutz-Atkinson
26
68 kgMcDunphy
31
70 kgStrohmeyer
32
55 kgRussell
34
64 kgCouture
36
67 kgGingras
47
58 kgGagné
50
64 kgTruffer
51
73 kgCastillo
52
72 kg
Weight (KG) →
Result →
73
55
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMARGO Diego Andrés | 65 |
| 2 | GAFFURI Mattia | 67 |
| 3 | SEVILLA Óscar | 62 |
| 4 | PLAMONDON Joel | 72 |
| 10 | MILES Carson | 64 |
| 12 | OLIVER Ben | 71 |
| 14 | PAREDES Wilmar | 66 |
| 18 | STOKES Ben | 68 |
| 19 | GERVAIS Laurent | 72 |
| 22 | PETTITI Nicolò | 62 |
| 25 | PELOQUIN Leonard | 67 |
| 26 | LUTZ-ATKINSON Hugo | 68 |
| 31 | MCDUNPHY Conn | 70 |
| 32 | STROHMEYER Andrew | 55 |
| 34 | RUSSELL Evan | 64 |
| 36 | COUTURE Samuel | 67 |
| 47 | GINGRAS Simon | 58 |
| 50 | GAGNÉ Étienne | 64 |
| 51 | TRUFFER Carl | 73 |
| 52 | CASTILLO Ulises Alfredo | 72 |