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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
van der Poel
1
75 kgLudvigsson
2
71 kgArslanov
3
63 kgDaniel
4
64 kgEg
7
60 kgWilliams
8
73 kgSchönberger
9
64 kg
1
75 kgLudvigsson
2
71 kgArslanov
3
63 kgDaniel
4
64 kgEg
7
60 kgWilliams
8
73 kgSchönberger
9
64 kg
Weight (KG) →
Result →
75
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Mathieu | 75 |
| 2 | LUDVIGSSON Fredrik | 71 |
| 3 | ARSLANOV Ildar | 63 |
| 4 | DANIEL Gregory | 64 |
| 7 | EG Niklas | 60 |
| 8 | WILLIAMS Tyler | 73 |
| 9 | SCHÖNBERGER Sebastian | 64 |