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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Šiškevičius
1
80 kgButs
2
68 kgLaas
4
76 kgEl Fares
6
62 kgWang
12
70 kg
1
80 kgButs
2
68 kgLaas
4
76 kgEl Fares
6
62 kgWang
12
70 kg
Weight (KG) →
Result →
80
62
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠIŠKEVIČIUS Evaldas | 80 |
| 2 | BUTS Vitaliy | 68 |
| 4 | LAAS Martin | 76 |
| 6 | EL FARES Julien | 62 |
| 12 | WANG Meiyin | 70 |