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 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Halvorsen
1
69 kgTietema
4
74 kgLawless
5
72 kgBurton
7
55 kgTouzé
8
69 kgKurianov
10
74 kg
1
69 kgTietema
4
74 kgLawless
5
72 kgBurton
7
55 kgTouzé
8
69 kgKurianov
10
74 kg
Weight (KG) →
Result →
74
55
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALVORSEN Kristoffer | 69 |
| 4 | TIETEMA Bas | 74 |
| 5 | LAWLESS Chris | 72 |
| 7 | BURTON Germain | 55 |
| 8 | TOUZÉ Damien | 69 |
| 10 | KURIANOV Stepan | 74 |