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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Čanecký
1
72 kgTybor
2
72 kgCully
4
73 kgŠtoček
5
80 kgBellan
7
61 kgMahďar
11
61 kgChren
23
72 kg
1
72 kgTybor
2
72 kgCully
4
73 kgŠtoček
5
80 kgBellan
7
61 kgMahďar
11
61 kgChren
23
72 kg
Weight (KG) →
Result →
80
61
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ČANECKÝ Marek | 72 |
| 2 | TYBOR Patrik | 72 |
| 4 | CULLY Ján Andrej | 73 |
| 5 | ŠTOČEK Matúš | 80 |
| 7 | BELLAN Juraj | 61 |
| 11 | MAHĎAR Martin | 61 |
| 23 | CHREN Martin | 72 |