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 - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Jelloul
2
58 kgChaoufi
3
65 kgHaddi
6
63 kgLahsaini
11
77 kgChaabane
12
70 kgLagab
16
63 kgSoula
17
68 kgGreen
22
70 kg
2
58 kgChaoufi
3
65 kgHaddi
6
63 kgLahsaini
11
77 kgChaabane
12
70 kgLagab
16
63 kgSoula
17
68 kgGreen
22
70 kg
Weight (KG) →
Result →
77
58
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JELLOUL Adil | 58 |
| 3 | CHAOUFI Tarik | 65 |
| 6 | HADDI Soufiane | 63 |
| 11 | LAHSAINI Mouhssine | 77 |
| 12 | CHAABANE Hichem | 70 |
| 16 | LAGAB Azzedine | 63 |
| 17 | SOULA Guillaume | 68 |
| 22 | GREEN Siméon | 70 |