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 + 52
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kelly
1
77 kgRoche
2
74 kgWinnen
12
60 kgGayant
27
69 kgJourdan
32
64 kgEarley
35
62 kgMujika
43
73 kgYates
47
74 kg
1
77 kgRoche
2
74 kgWinnen
12
60 kgGayant
27
69 kgJourdan
32
64 kgEarley
35
62 kgMujika
43
73 kgYates
47
74 kg
Weight (KG) →
Result →
77
60
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | ROCHE Stephen | 74 |
| 12 | WINNEN Peter | 60 |
| 27 | GAYANT Martial | 69 |
| 32 | JOURDAN Christian | 64 |
| 35 | EARLEY Martin | 62 |
| 43 | MUJIKA Jokin | 73 |
| 47 | YATES Sean | 74 |