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 + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Julich
1
68 kgVasseur
2
70 kgBortolami
3
73 kgHalgand
4
67 kgMattan
5
69 kg
1
68 kgVasseur
2
70 kgBortolami
3
73 kgHalgand
4
67 kgMattan
5
69 kg
Weight (KG) →
Result →
73
67
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JULICH Bobby | 68 |
| 2 | VASSEUR Cédric | 70 |
| 3 | BORTOLAMI Gianluca | 73 |
| 4 | HALGAND Patrice | 67 |
| 5 | MATTAN Nico | 69 |