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 + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Rathe
1
74 kgCiccone
2
58 kgBenito
4
67 kgKuss
6
61 kgRosskopf
7
74 kgBookwalter
8
70 kgMolina
9
57 kgȚvetcov
10
69 kgSterbini
12
67 kgPiccoli
13
65 kgPowless
14
67 kgMannion
15
58 kgWilliams
16
73 kgDillier
17
75 kgWackermann
18
68 kgMancebo
20
64 kgOliveira
21
66 kgAndreetta
22
69 kgSenni
23
60 kgBoivin
24
78 kgMurphy
26
67 kgButler
27
61 kgJones
28
64 kg
1
74 kgCiccone
2
58 kgBenito
4
67 kgKuss
6
61 kgRosskopf
7
74 kgBookwalter
8
70 kgMolina
9
57 kgȚvetcov
10
69 kgSterbini
12
67 kgPiccoli
13
65 kgPowless
14
67 kgMannion
15
58 kgWilliams
16
73 kgDillier
17
75 kgWackermann
18
68 kgMancebo
20
64 kgOliveira
21
66 kgAndreetta
22
69 kgSenni
23
60 kgBoivin
24
78 kgMurphy
26
67 kgButler
27
61 kgJones
28
64 kg
Weight (KG) →
Result →
78
57
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RATHE Jacob | 74 |
| 2 | CICCONE Giulio | 58 |
| 4 | BENITO Miguel Ángel | 67 |
| 6 | KUSS Sepp | 61 |
| 7 | ROSSKOPF Joey | 74 |
| 8 | BOOKWALTER Brent | 70 |
| 9 | MOLINA Antonio | 57 |
| 10 | ȚVETCOV Serghei | 69 |
| 12 | STERBINI Simone | 67 |
| 13 | PICCOLI James | 65 |
| 14 | POWLESS Neilson | 67 |
| 15 | MANNION Gavin | 58 |
| 16 | WILLIAMS Tyler | 73 |
| 17 | DILLIER Silvan | 75 |
| 18 | WACKERMANN Luca | 68 |
| 20 | MANCEBO Francisco | 64 |
| 21 | OLIVEIRA Rui | 66 |
| 22 | ANDREETTA Simone | 69 |
| 23 | SENNI Manuel | 60 |
| 24 | BOIVIN Guillaume | 78 |
| 26 | MURPHY Kyle | 67 |
| 27 | BUTLER Chris | 61 |
| 28 | JONES Chris | 64 |