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 = 0.8 * weight - 46
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Zaballa
1
66 kgJelloul
2
58 kgPedersen
3
62 kgChaabane
4
70 kgLagab
8
63 kgHasnaoui
18
80 kgFurlan
19
72 kg
1
66 kgJelloul
2
58 kgPedersen
3
62 kgChaabane
4
70 kgLagab
8
63 kgHasnaoui
18
80 kgFurlan
19
72 kg
Weight (KG) →
Result →
80
58
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABALLA Constantino | 66 |
| 2 | JELLOUL Adil | 58 |
| 3 | PEDERSEN Martin | 62 |
| 4 | CHAABANE Hichem | 70 |
| 8 | LAGAB Azzedine | 63 |
| 18 | HASNAOUI Maher | 80 |
| 19 | FURLAN Angelo | 72 |