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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Dillier
2
75 kgClain
3
59 kgBelgy
4
68 kgBarle
10
72 kgFirsanov
12
58 kgPérichon
18
69 kgNovikov
19
77 kg
2
75 kgClain
3
59 kgBelgy
4
68 kgBarle
10
72 kgFirsanov
12
58 kgPérichon
18
69 kgNovikov
19
77 kg
Weight (KG) →
Result →
77
58
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DILLIER Silvan | 75 |
| 3 | CLAIN Médéric | 59 |
| 4 | BELGY Julien | 68 |
| 10 | BARLE Florent | 72 |
| 12 | FIRSANOV Sergey | 58 |
| 18 | PÉRICHON Pierre-Luc | 69 |
| 19 | NOVIKOV Nikita | 77 |