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 + 4
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Bēcis
1
82 kgAriesen
2
70 kgStacchiotti
5
70 kgGavazzi
6
70 kgMarini
9
72 kgBugter
10
81 kg
1
82 kgAriesen
2
70 kgStacchiotti
5
70 kgGavazzi
6
70 kgMarini
9
72 kgBugter
10
81 kg
Weight (KG) →
Result →
82
70
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BĒCIS Armands | 82 |
| 2 | ARIESEN Johim | 70 |
| 5 | STACCHIOTTI Riccardo | 70 |
| 6 | GAVAZZI Mattia | 70 |
| 9 | MARINI Nicolas | 72 |
| 10 | BUGTER Luuc | 81 |