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 = 0.9 * weight - 51
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Dmitriyev
2
69 kgStrgar
3
62 kgSieberg
4
80 kgVisconti
5
63 kgBonnaire
6
67 kgSulzberger
8
67 kgKemps
55
73 kg
2
69 kgStrgar
3
62 kgSieberg
4
80 kgVisconti
5
63 kgBonnaire
6
67 kgSulzberger
8
67 kgKemps
55
73 kg
Weight (KG) →
Result →
80
62
2
55
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DMITRIYEV Valeriy | 69 |
| 3 | STRGAR Matic | 62 |
| 4 | SIEBERG Marcel | 80 |
| 5 | VISCONTI Giovanni | 63 |
| 6 | BONNAIRE Olivier | 67 |
| 8 | SULZBERGER Bernard | 67 |
| 55 | KEMPS Aaron | 73 |