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 = 1.2 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Lagab
1
63 kgJelloul
2
58 kgBerhane
3
66 kgChaoufi
4
65 kgReguigui
7
69 kgTeklehaimanot
13
70 kgLahsaini
23
77 kg
1
63 kgJelloul
2
58 kgBerhane
3
66 kgChaoufi
4
65 kgReguigui
7
69 kgTeklehaimanot
13
70 kgLahsaini
23
77 kg
Weight (KG) →
Result →
77
58
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGAB Azzedine | 63 |
| 2 | JELLOUL Adil | 58 |
| 3 | BERHANE Natnael | 66 |
| 4 | CHAOUFI Tarik | 65 |
| 7 | REGUIGUI Youcef | 69 |
| 13 | TEKLEHAIMANOT Daniel | 70 |
| 23 | LAHSAINI Mouhssine | 77 |