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 + 45
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Bertazzo
1
75 kgStević
4
66 kgBouglas
5
71 kgTamouridis
6
70 kgScott
10
68 kg
1
75 kgStević
4
66 kgBouglas
5
71 kgTamouridis
6
70 kgScott
10
68 kg
Weight (KG) →
Result →
75
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERTAZZO Liam | 75 |
| 4 | STEVIĆ Ivan | 66 |
| 5 | BOUGLAS Georgios | 71 |
| 6 | TAMOURIDIS Ioannis | 70 |
| 10 | SCOTT Jacob | 68 |