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 = 0.6 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Lequatre
4
64 kgGiling
8
72 kgRavard
9
62 kgDion
11
65 kgvan Hummel
15
64 kgMainguenaud
17
68 kgSprick
20
71 kg
4
64 kgGiling
8
72 kgRavard
9
62 kgDion
11
65 kgvan Hummel
15
64 kgMainguenaud
17
68 kgSprick
20
71 kg
Weight (KG) →
Result →
72
62
4
20
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LEQUATRE Geoffroy | 64 |
| 8 | GILING Bas | 72 |
| 9 | RAVARD Anthony | 62 |
| 11 | DION Renaud | 65 |
| 15 | VAN HUMMEL Kenny | 64 |
| 17 | MAINGUENAUD Frédéric | 68 |
| 20 | SPRICK Matthieu | 71 |