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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Chernetski
1
63 kgTeunissen
2
73 kgJansen
3
83 kgWaeytens
4
67 kgVanbilsen
5
73 kgVanmarcke
6
77 kgBelkov
7
71 kg
1
63 kgTeunissen
2
73 kgJansen
3
83 kgWaeytens
4
67 kgVanbilsen
5
73 kgVanmarcke
6
77 kgBelkov
7
71 kg
Weight (KG) →
Result →
83
63
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHERNETSKI Sergei | 63 |
| 2 | TEUNISSEN Mike | 73 |
| 3 | JANSEN Amund Grøndahl | 83 |
| 4 | WAEYTENS Zico | 67 |
| 5 | VANBILSEN Kenneth | 73 |
| 6 | VANMARCKE Sep | 77 |
| 7 | BELKOV Maxim | 71 |