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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Euser
1
56 kgMcCarty
3
68 kgFarrar
4
73 kgParisien
5
64 kgMamos
6
72 kgJones
7
64 kgvan Vooren
11
75 kgRoth
13
70 kg
1
56 kgMcCarty
3
68 kgFarrar
4
73 kgParisien
5
64 kgMamos
6
72 kgJones
7
64 kgvan Vooren
11
75 kgRoth
13
70 kg
Weight (KG) →
Result →
75
56
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EUSER Lucas | 56 |
| 3 | MCCARTY Jonathan Patrick | 68 |
| 4 | FARRAR Tyler | 73 |
| 5 | PARISIEN François | 64 |
| 6 | MAMOS Philipp | 72 |
| 7 | JONES Chris | 64 |
| 11 | VAN VOOREN Steven | 75 |
| 13 | ROTH Ryan | 70 |