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 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Glivar
1
64 kgRomele
5
71 kgPutz
9
62 kgSutton
11
68 kgvan Bekkum
12
62 kgNordhagen
14
59 kgRosa
18
64 kgRuiz
19
57 kgBelletta
25
73 kgArrighetti
26
74 kgRojas
30
64 kgNegrente
32
65 kgPalomba
34
63 kgWood
35
64 kgEckerstorfer
36
62 kgHarding
38
65 kgNovák
39
63 kgMontoli
43
66 kg
1
64 kgRomele
5
71 kgPutz
9
62 kgSutton
11
68 kgvan Bekkum
12
62 kgNordhagen
14
59 kgRosa
18
64 kgRuiz
19
57 kgBelletta
25
73 kgArrighetti
26
74 kgRojas
30
64 kgNegrente
32
65 kgPalomba
34
63 kgWood
35
64 kgEckerstorfer
36
62 kgHarding
38
65 kgNovák
39
63 kgMontoli
43
66 kg
Weight (KG) →
Result →
74
57
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLIVAR Gal | 64 |
| 5 | ROMELE Alessandro | 71 |
| 9 | PUTZ Sebastian | 62 |
| 11 | SUTTON Louis | 68 |
| 12 | VAN BEKKUM Darren | 62 |
| 14 | NORDHAGEN Jørgen | 59 |
| 18 | ROSA Luca | 64 |
| 19 | RUIZ Jeferson Armando | 57 |
| 25 | BELLETTA Dario Igor | 73 |
| 26 | ARRIGHETTI Nicolò | 74 |
| 30 | ROJAS Brandon Alejandro | 64 |
| 32 | NEGRENTE Mattia | 65 |
| 34 | PALOMBA Marco | 63 |
| 35 | WOOD George | 64 |
| 36 | ECKERSTORFER Benjamin | 62 |
| 38 | HARDING Will | 65 |
| 39 | NOVÁK Samuel | 63 |
| 43 | MONTOLI Andrea | 66 |