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 = 0.7 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Oliver
1
71 kgMiles
2
64 kgGervais
3
72 kgPettiti
4
62 kgPlamondon
6
72 kgStrohmeyer
8
55 kgCamargo
11
65 kgGaffuri
15
67 kgSevilla
16
62 kgParedes
17
66 kgLutz-Atkinson
28
68 kgStokes
30
68 kgPeloquin
34
67 kgRussell
38
64 kgGingras
42
58 kgGagné
47
64 kgCouture
48
67 kgMcDunphy
49
70 kgCastillo
52
72 kgTruffer
54
73 kg
1
71 kgMiles
2
64 kgGervais
3
72 kgPettiti
4
62 kgPlamondon
6
72 kgStrohmeyer
8
55 kgCamargo
11
65 kgGaffuri
15
67 kgSevilla
16
62 kgParedes
17
66 kgLutz-Atkinson
28
68 kgStokes
30
68 kgPeloquin
34
67 kgRussell
38
64 kgGingras
42
58 kgGagné
47
64 kgCouture
48
67 kgMcDunphy
49
70 kgCastillo
52
72 kgTruffer
54
73 kg
Weight (KG) →
Result →
73
55
1
54
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OLIVER Ben | 71 |
| 2 | MILES Carson | 64 |
| 3 | GERVAIS Laurent | 72 |
| 4 | PETTITI Nicolò | 62 |
| 6 | PLAMONDON Joel | 72 |
| 8 | STROHMEYER Andrew | 55 |
| 11 | CAMARGO Diego Andrés | 65 |
| 15 | GAFFURI Mattia | 67 |
| 16 | SEVILLA Óscar | 62 |
| 17 | PAREDES Wilmar | 66 |
| 28 | LUTZ-ATKINSON Hugo | 68 |
| 30 | STOKES Ben | 68 |
| 34 | PELOQUIN Leonard | 67 |
| 38 | RUSSELL Evan | 64 |
| 42 | GINGRAS Simon | 58 |
| 47 | GAGNÉ Étienne | 64 |
| 48 | COUTURE Samuel | 67 |
| 49 | MCDUNPHY Conn | 70 |
| 52 | CASTILLO Ulises Alfredo | 72 |
| 54 | TRUFFER Carl | 73 |