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 = 1.4 * weight - 81
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Chaoufi
2
65 kgNiyonshuti
3
63 kgJelloul
5
58 kgSoula
23
68 kgLahsaini
27
77 kg
2
65 kgNiyonshuti
3
63 kgJelloul
5
58 kgSoula
23
68 kgLahsaini
27
77 kg
Weight (KG) →
Result →
77
58
2
27
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHAOUFI Tarik | 65 |
| 3 | NIYONSHUTI Adrien | 63 |
| 5 | JELLOUL Adil | 58 |
| 23 | SOULA Guillaume | 68 |
| 27 | LAHSAINI Mouhssine | 77 |