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 = 1.1 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Duret
2
62 kgPatanchon
6
69 kgLadagnous
17
73 kgSoutham
18
69 kgKnees
20
81 kgSieberg
27
80 kg
2
62 kgPatanchon
6
69 kgLadagnous
17
73 kgSoutham
18
69 kgKnees
20
81 kgSieberg
27
80 kg
Weight (KG) →
Result →
81
62
2
27
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DURET Sébastien | 62 |
| 6 | PATANCHON Fabien | 69 |
| 17 | LADAGNOUS Matthieu | 73 |
| 18 | SOUTHAM Tom | 69 |
| 20 | KNEES Christian | 81 |
| 27 | SIEBERG Marcel | 80 |