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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Jaskuła
2
76 kgCapelle
3
73 kgRich
6
82 kgLipták
8
68 kgAbduzhaparov
10
72 kg
2
76 kgCapelle
3
73 kgRich
6
82 kgLipták
8
68 kgAbduzhaparov
10
72 kg
Weight (KG) →
Result →
82
68
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JASKUŁA Zenon | 76 |
| 3 | CAPELLE Christophe | 73 |
| 6 | RICH Michael | 82 |
| 8 | LIPTÁK Miroslav | 68 |
| 10 | ABDUZHAPAROV Djamolidine | 72 |