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 = 0.6 * weight - 38
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Taverne
1
72 kgGeldhof
4
77 kgVerhaegen
8
72 kgLaloup
10
72 kgJoly
11
75 kgBaumans
14
82 kg
1
72 kgGeldhof
4
77 kgVerhaegen
8
72 kgLaloup
10
72 kgJoly
11
75 kgBaumans
14
82 kg
Weight (KG) →
Result →
82
72
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAVERNE Omer | 72 |
| 4 | GELDHOF Maurice | 77 |
| 8 | VERHAEGEN Pé | 72 |
| 10 | LALOUP Georges | 72 |
| 11 | JOLY Émile | 75 |
| 14 | BAUMANS Auguste | 82 |