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 = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Baranowski
1
68 kgEising
9
80 kgBēcis
12
82 kgSchelling
16
61 kgOliphant
17
66 kgKochetkov
18
70 kgHansen
20
60 kg
1
68 kgEising
9
80 kgBēcis
12
82 kgSchelling
16
61 kgOliphant
17
66 kgKochetkov
18
70 kgHansen
20
60 kg
Weight (KG) →
Result →
82
60
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARANOWSKI Dariusz | 68 |
| 9 | EISING Tijmen | 80 |
| 12 | BĒCIS Armands | 82 |
| 16 | SCHELLING Patrick | 61 |
| 17 | OLIPHANT Evan | 66 |
| 18 | KOCHETKOV Pavel | 70 |
| 20 | HANSEN Jesper | 60 |